International Journal of Computational Intelligence Systems

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1410 articles
Research Article

Quest for Interpretability-Accuracy Trade-off Supported by Fingrams into the Fuzzy Modeling Tool GUAJE

DavidP. Pancho, JoseM. Alonso, L. Magdalena
Pages: 46 - 60
Understand the behavior of Fuzzy Rule-based Systems (FRBSs) at inference level is a complex task that allows the designer to produce simpler and powerful systems. The fuzzy inference-grams –known as fingrams– establish a novel and mighty tool for understanding the structure and behavior of...
Research Article

Parameters control in GAs for dynamic optimization

Khalid Jebari, Abdelaziz Bouroumi, Aziz Ettouhami
Pages: 47 - 63
The Control of Genetic Algorithms parameters allows to optimize the search process and improves the performance of the algorithm. Moreover it releases the user to dive into a game process of trial and failure to find the optimal parameters.
Research Article

A Method for Multi-attribute Decision Making Under Uncertainty Using Evidential Reasoning and Prospect Theory

Liuqian Jin, Xin Fang, Yang Xu
Pages: 48 - 62
In this paper, a method for multi-attribute decision making under uncertainty is proposed, the uncertainty is represented by certitude structure. In fact, there are both quantitative and qualitative attributes with different representation in multi-attribute decision making under uncertainty, so the...
Research Article

On implicit Lagrangian twin support vector regression by Newton method

S. Balasundaram, Deepak Gupta
Pages: 50 - 64
In this work, an implicit Lagrangian for the dual twin support vector regression is proposed. Our formulation leads to determining non-parallel –insensitive down- and up- bound functions for the unknown regressor by constructing two unconstrained quadratic programming problems of smaller size,...
Research Article

Team Situation Awareness Using Web-based Fuzzy Group Decision Support Systems

Jie Lu, Guangquan Zhang, Fengjie Wu
Pages: 50 - 59
Situation awareness (SA) is an important element to support responses and decision making to crisis problems. Decision making for a complex situation often needs a team to work cooperatively to get consensus awareness for the situation. Team SA is characterized including information sharing, opinion...
Research Article

Bacterial Foraging Optimized Hybrid Fuzzy Precompensated PD Control of Two Link Rigid-Flexible Manipulator

Srinivasan Alavandar, Tushar Jain, M. J. Nigam
Pages: 51 - 59
Light-weight flexible arms will most likely constitute the next generation robots due to their large payload carrying capacities at high speeds and less power demand. Control problem of robots with flexible members is more complex compared to rigid robots due to vibrations during the motion. This paper...
Research Article

A data mining approach for analyzing semiconductor MES and FDC data to enhance overall usage effectiveness (OUE)

Chen-Fu Chien, Alejandra Campero Diaz, Yu-Bin Lan
Pages: 52 - 65
Wafer fabrication is a complex and lengthy process that involves hundreds of process steps with monitoring numerous process parameters at the same time for yield enhancement. Big data is automatically collected during manufacturing processes in modern wafer fabrication facility. Thus, potential useful...
Research Article

Region-based Image Segmentation by Watershed Partition and DCT Energy Compaction

Chi-Man Pun, Ning-Yu An, C.L. Philip Chen
Pages: 53 - 64
An image segmentation approach by improved watershed partition and DCT energy compaction has been proposed in this paper. The proposed energy compaction, which expresses the local texture of an image area, is derived by exploiting the discrete cosine transform. The algorithm is a hybrid segmentation...
Research Article

Linguistic-Valued Approximate Reasoning With Lattice Ordered Linguistic-Valued Credibility

Li Zou, Yunxia Zhang, Xin Liu
Pages: 53 - 61
Linguistic terms are often used to represent the truth degree or credibility degree to manage the uncertainty or imprecision as one of popular ways of knowledge representation in the perception-based decision making problem. This present work represents the credibility of uncertain knowledge using linguistic...
Research Article

Archimedean-Compensatory Fuzzy Logic Systems

Rafael A. Espin-Andrade, Erick González Caballero, Witold Pedrycz, Eduardo R. Fernández González
Pages: 54 - 62
The paper aims to define a new kind of logic, referred to as Archimedean-Compensatory Logic, which is constructed from the unification of two different fuzzy logic systems, namely a continuous Archimedean fuzzy logic and a compensatory fuzzy logic. The paper introduces basic definitions and properties...
Research Article

Fuzzy Ontology Mining and Semantic Information Granulation for Effective Information Retrieval Decision Making

Chapmann C.L. Lai, Raymond Y.K. Lau, Yuefeng Li
Pages: 54 - 65
The notion of semantic information granulation is explored to estimate the information specificity or generality of documents. Basically, a document is considered more specific than another document if it contains more cohesive domain-specific terminologies than that of the other one. We believe that...
Research Article

An Adaptive Multi-Objective Evolutionary Algorithm with Two-Stage Local Search for Flexible Job-Shop Scheduling

Yingli Li, Jiahai Wang, Zhengwei Liu
Pages: 54 - 66
An adaptive evolutionary algorithm with two-stage local search is proposed to solve the multi-objective flexible job-shop scheduling problem (MOFJSP). Adaptivity and efficient solving ability are the two main features. An autonomous selection mechanism of crossover operator is designed, which divides...
Research Article

An Effective Traditional Chinese Medicine Syndrome Model based on Proportional Odds Model and Similarity

Tong-sheng Chen, Shao-zi Li, Chang-le Zhou
Pages: 56 - 69
This paper discusses proportional odds model and similarity on the construction of Traditional Chinese Medicine (TCM) chronic gastritis syndrome model. The syndromes explain the true relationships among a set of symptoms, which can be characterized by marginal probabilities and conditional probabilities....
Research Article

A metaheuristic optimization-based indirect elicitation of preference parameters for solving many-objective problems

Laura Cruz-Reyes, Eduardo Fernandez, Nelson Rangel-Valdez
Pages: 56 - 77
A priori incorporation of the decision maker’s preferences is a crucial issue in many-objective evolutionary optimization. Some approaches characterize the best compromise solution of this problem through fuzzy outranking relations; however, they require the elicitation of a large number of parameters...
Research Article

Coreference Resolution Using Neural MCDM and Fuzzy Weighting Technique

Samira Hourali, Morteza Zahedi, Mansour Fateh
Pages: 56 - 65
Coreference resolution has been an active field of research in the past several decades and plays a vital role in many areas such as information extraction, document summarization, machine translation, and question answering systems. This paper presents a new coreference resolution approach by incorporating...
Research Article

A Novel Mechanism for Efficient the Search Optimization of Genetic Algorithm

Chen-Fang Tsai, Shin-Li Lu
Pages: 57 - 64
This paper proposes a Social Genetic Algorithm (SGA) that includes a transformation function that has ability to improve search efficiency. The SGA is different from the Traditional Genetic Algorithm (TGA) approaches, as it allows refinement of the TGA parameters for the selections of operators in each...
Research Article

Workload balancing in identical parallel machine scheduling using a mathematical programming method

Yassine Ouazene, Farouk Yalaoui, Hicham Chehade, Alice Yalaoui
Pages: 58 - 67
This paper addresses the workload balancing problem in identical parallel machines context. The problem consists of assigning different jobs to identical parallel machines in order to minimize the workload imbalance among the different machines. This problem is formulated as a linear mixed integer program...
Research Article

Facial Peculiarity Retrieval via Deep Neural Networks Fusion

Peiqin Li, Jianbin Xie, Zhen Li, Tong Liu, Wei Yan
Pages: 58 - 65
Face retrieval is becoming increasingly useful and important for security maintenance operations. In actual applications, face retrieval is usually influenced by some changeable site conditions, such as various postures, expressions, camera angles, illuminations, and so on. In this paper, facial peculiar...
Research Article

Optimization of quality measures in association rule mining: an empirical study

J. M. Luna, M. Ondra, H. M. Fardoun, S. Ventura
Pages: 59 - 78
In the association rule mining field many different quality measures have been proposed over time with the aim of quantifying the interestingness of each discovered rule. In evolutionary computation, many of these metrics have been used as functions to be optimized, but the selection of a set of suitable...
Research Article

From Fuzzy Clustering to a Fuzzy Rule-Based Classification Model

Enrico Zio, Piero Baraldi, Irina Crenguta Popescu
Pages: 60 - 76
The applicability in practice of a diagnostic tool is strongly related to the physical transparency of the un- derlying models, for the interpretation of the relationships between the involved variables and for direct model inspection and validation. In this work, a methodology is developed for transforming...
Research Article

Accuracy Evaluation of C4.5 and Naive Bayes Classifiers Using Attribute Ranking Method

S. Sivakumari, R. Praveena Priyadarsini, P. Amudha
Pages: 60 - 68
This paper intends to classify the Ljubljana Breast Cancer dataset using C4.5 Decision Tree and Nai?ve Bayes classifiers. In this work, classification is carriedout using two methods. In the first method, dataset is analysed using all the attributes in the dataset. In the second method, attributes are...
Research Article

jFuzzyLogic: a Java Library to Design Fuzzy Logic Controllers According to the Standard for Fuzzy Control Programming

Pablo Cingolani, Jesús Alcalá-Fdez
Pages: 61 - 75
Fuzzy Logic Controllers are a specific model of Fuzzy Rule Based Systems suitable for engineering applications for which classic control strategies do not achieve good results or for when it is too difficult to obtain a mathematical model. Recently, the International Electrotechnical Commission has published...
Research Article

Comparative Study of Image Thresholding Using Type-2 Fuzzy Sets and Cloud Model

Tao Wu, Kun Qin
Pages: 61 - 73
Uncertainty is an inherent part of image segmentation in real world applications. The use of new methods for handling incomplete information is of fundamental importance. Type-1 fuzzy sets used in conventional image segmentation cannot fully handle the uncertainties. Type-2 fuzzy sets and cloud model...
Research Article

Selection of Encoding Cardinality for a Class of Fitness Functions to Obtain Order-1 Building Blocks

Hongqiang Mo, Zhong Li, Lianfang Tian, Xiang Tian
Pages: 62 - 74
Encoding plays a key role in determining the optimization efficiency of a genetic algorithm. In the optimization of a continuous function, binary encodings are normally used due to their low coding-alphabet cardinalities. Nevertheless, from the viewpoint of building-block supply, it is remarked that...
Research Article

Locally Weighted Learning: How and When Does it Work in Bayesian Networks?

Jia Wu, Bi Wu, Shirui Pan, Haishuai Wang, Zhihua Cai
Pages: 63 - 74
Bayesian network (BN), a simple graphical notation for conditional independence assertions, is promised to represent the probabilistic relationships between diseases and symptoms. Learning the structure of a Bayesian network classifier (BNC) encodes conditional independence assumption between attributes,...
Research Article

Bootstrap Kuiper Testing of the Identity of 1D Continuous Distributions using Fuzzy Samples

Natalia Nikolova, Shuhong Chai, Snejana D. Ivanova, Krasimir Kolev, Kiril Tenekedjiev
Pages: 63 - 75
This paper aims to statistically test the null hypothesis for identity of the probability distribution of one-dimensional (1D) continuous parameters in two different populations, presented by fuzzy samples of i.i.d. observations. A degree of membership to the corresponding population is assigned to any...
Research Article

Markdown Optimization via Approximate Dynamic Programming

Özlem Coşgun, Ufuk Kula, Cengiz Kahraman
Pages: 64 - 78
We consider the markdown optimization problem faced by the leading apparel retail chain. Because of substitution among products the markdown policy of one product affects the sales of other products. Therefore, markdown policies for product groups having a significant crossprice elasticity among each...
Research Article

PSOPB: A Two-population Particle Swarm Optimizer Mimicking Facultative Bio-parasitic Behavior

Quande Qin, Li Li, Rongjun Li, Ben Niu
Pages: 65 - 75
Inspired by the phenomenon of bio-parasitic behavior in natural ecosystem, this paper presents a novel particle swarm optimizer named PSOPB, in which particles are composed of the host and the parasite population. In the presented algorithm, the two populations mimic facultative bio-parasitic behaviour...
Research Article

Possibility Method for Triangular Intuitionistic Fuzzy Multi-attribute Group Decision Making with Incomplete Weight Information

Shu-Ping Wan, Jiu-Ying Dong
Pages: 65 - 79
Triangular intuitionistic fuzzy numbers (TIFNs) are a special kind of intuitionistic fuzzy sets (IFSs) on a real number set. TIFNs are useful to deal with ill-known quantities in decision data and decision making problems themselves. The purpose of this paper is on developing a new ranking method of...
Research Article

Development of Emotional State Model using Electromagnetic Signal Information for Rehabilitation Robot

Aimi Shazwani Ghazali, Shahrul Naim Sidek, Sado Fatai
Pages: 65 - 79
The paper presents a development of emotion recognition system which can detect human emotion in real-time leveraging information captured from human body’s electromagnetic (EM) signals. A new model of controller framework was designed to embed the emotion recognition module which was evaluated on a...
Research Article

A virtual metrology approach for maintenance compensation to improve yield in semiconductor manufacturing

Kuo-Yi Lin, Chia-Yu Hsu, Hui-Chun Yu
Pages: 66 - 73
Process condition was changed by preventative maintenance that may lead to the inconsistency of process output. In practice, process engineers have difficulties to discover the inconsistency that the defect wafer may have been produced before the next measurement. This study proposes a virtual metrology...
Research Article

Three-way Investment Decisions with Decision-theoretic Rough Sets

D. Liu, Y.Y. Yao, T.R. Li
Pages: 66 - 74
The decision-theoretic rough set model is adopted to derive a profit-based three-way approach to investment decision-making. A three-way decision is made based on a pair of thresholds on conditional probabilities. A positive rule makes a decision of investment, a negative rule makes a decision of noninvestment,...
Research Article

A fuzzy based churn prediction and retention model for prepaid customers in telecom industry

Muhammad Azeem, Muhammad Usman
Pages: 66 - 78
Accurate and timely identification of the potential churner, also known as churn prediction, is crucial to devise effective retention strategies. A number of churn prediction models have been proposed in the past, however, the existing models suffer from a number of limitations due to which these models...
Research Article

RunPool: A Dynamic Pooling Layer for Convolution Neural Network

Huang Jin Jie, Putra Wanda
Pages: 66 - 76
Deep learning (DL) has achieved a significant performance in computer vision problems, mainly in automatic feature extraction and representation. However, it is not easy to determine the best pooling method in a different case study. For instance, experts can implement the best types of pooling in image...
Research Article

New Framework for FCMs Using Dual Hesitant Fuzzy Sets with an Analysis of Risk Factors in Emergency Event

Zengwen Wang, Jian Wu, Xiaodi Liu, Harish Garg
Pages: 67 - 78
As a kind of soft computing tool with strong knowledge representation and causal reasoning ability, fuzzy cognitive maps (FCMs) is a product of fuzzy logic and neural network. A limitation of the current FCMs method is its inability to model the uncertainty that is introduced into a complex system due...
Research Article

Replacement policies for a complex system with unobservable components using dynamic Bayesian networks

Demet O., Taner Bilgiç
Pages: 68 - 83
We study maintenance of a complex dynamic system consisting of ageing and unobservable components under a predetermined threshold reliability level. Our aim is to construct an optimum replacement policy for the components of the system by minimizing total number of replacements or total replacement cost....
Research Article

A View on Fuzzy Systems for Big Data: Progress and Opportunities

Alberto Fernández, Cristobal José Carmona, María José del Jesus, Francisco Herrera
Pages: 69 - 80
Currently, we are witnessing a growing trend in the study and application of problems in the framework of Big Data. This is mainly due to the great advantages which come from the knowledge extraction from a high volume of information. For this reason, we observe a migration of the standard Data Mining...
Research Article

Fuzzy Relational Fixed Point Clustering

Roelof K. Brouwer
Pages: 69 - 82
The proposed relational fuzzy clustering method, called FRFP ( fuzzy relational fixed point), is based on determining a fixed point of a function of the desired membership matrix. The ethod is compared to other relational clustering methods. Simulations show the method to be very effective and less computationally...
Research Article

Bandwidth Prediction based on Nu-Support Vector Regression and Parallel Hybrid Particle Swarm Optimization

Xiaochun Cheng, Liang Hu, Xilong Che
Pages: 70 - 83
This paper addresses the problem of generating multi-step-ahead bandwidth prediction. Variation of bandwidth is modeled as a Nu-Support Vector Regression (Nu-SVR) procedure. A parallel procedure is proposed to hybridize constant and binary Particle Swarm Optimization (PSO) together for optimizing feature...
Research Article

Application of Interactive Genetic Algorithm based on hesitancy degree in product configuration for customer requirement

Runliang Dou, Chao Zong
Pages: 74 - 84
With significant impact on the personalized product configuration, Interactive Genetic Algorithm is introduced to respond to customer requirement. For the user could conveniently design their favorite product and interact with the system by a graphical interface, the car console conceptual design system...
Research Article

Evolutionary Game Theory in Multi-Objective Optimization Problem

Maozhu Jin, Xia Lei, Jian Du
Pages: 74 - 87
Multi-objective optimization focuses on simultaneous optimization of multiple targets. Evolutionary game theory transforms the optimization problem into game strategic problem and using adaptable dynamic game evolution process intelligently obtains the optimized strategy. The problem of multiple frequency...
Research Article

The Evidential Reasoning Approach to Medical Diagnosis using Intuitionistic Fuzzy Dempster-Shafer Theory

Yanni Wang, Yaping Dai, Yu-wang Chen, Fancheng Meng
Pages: 75 - 94
For medical diagnosis, fuzzy Dempster-Shafer theory is extended to model domain knowledge under probabilistic and fuzzy uncertainty. However, there are some information loss using discrete fuzzy sets and traditional matching degree method. This study aims to provide a new evidential structure to reduce...
Research Article

α-Resolution Method for Lattice-valued Horn Generalized Clauses in Lattice-valued Propositional Logic Systems

Weitao Xu, Wenqiang Zhang, Dexian Zhang, Yang Xu, Xiaodong Pan
Pages: 75 - 84
In this paper, an α-resolution method for a set of lattice-valued Horn generalized clauses is established in lattice-valued propositional logic system ℒ P(X) based on lattice implication algebra. Firstly, the notions of lattice-valued Horn generalized clause, normal lattice-valued...
Research Article

An Improved Method for Protein Similarity Searching by Alignment of Fuzzy Energy Signatures

Dariusz Mrozek, Bozena Malysiak-Mrozek
Pages: 75 - 88
*Scientific research supported by the Ministry of Science and Higher Education, Poland in years 2008-2010. Grant No. N N516 265835: Protein Structure Similarity Searching in Distributed Multi Agent System †To whom the entire correspondence should be directed: Institute of Informatics, Silesian University...
Research Article

Intelligent Recognition of Lung Nodule Combining Rule-based and C-SVM Classifiers

Bin Li, Jing Zhang, Lianfang Tian, Li Tan, Shijie Xiang, Shanxing Ou
Pages: 76 - 92
Computer-aided detection(CAD) system for lung nodules plays the important role in the diagnosis of lung cancer. In this paper, an improved intelligent recognition method of lung nodule in HRCT combing rule-based and cost-sensitive support vector machine(C-SVM) classifiers is proposed for detecting both...
Research Article

Intelligent Interaction for Human-Friendly Service Robot in Smart House Environment

Z. Zenn Bien, Hyong-Euk Lee, Jun-Hyeong Do, Yong-Hwi Kim, Kwang-Hyun Park, Seung-Eun Yang
Pages: 77 - 93
The smart house under consideration is a service-integrated complex system to assist older persons and/or people with disabilities. The primary goal of the system is to achieve independent living by various robotic devices and systems. Such a system is treated as a human-in-the loop system in which human-...
Research Article

Multi-Class Skin Lesions Classification System Using Probability Map Based Region Growing and DCNN

T. Sreekesh Namboodiri, A. Jayachandran
Pages: 77 - 84
Background: Melanoma is a type of threatening pigmented skin lesion, and as of now is among the most hazardous existing diseases. Suitable automated diagnosis of skin lesions and Melanoma classification can extraordinarily enhance early identification of melanomas. Methods: However, classification...
Research Article

Classification of the risk in the new financing framework of the Deposit Guarantee Systems in Europe: K-Means Cluster Analysis and Soft Computing

Pilar Gómez, Antonio Partal, Macarena Espinilla
Pages: 78 - 89
The guidelines published by the European Banking Authority in 2015 about the contributions to the Deposit Guarantee Systems, establish two approaches to classify the member entities’ risk: the bucket method and the sliding scale method, allowing freedom to every Member State to decide which methodology...
Research Article

A Novel Evolutionary Algorithm Inspired by Beans Dispersal

Xiaoming Zhang, Bingyu Sun, Tao Mei, Rujing Wang
Pages: 79 - 86
Inspired by the transmission of beans in nature, a novel evolutionary algorithm-Bean Optimization Algorithm (BOA) is proposed in this paper. BOA is mainly based on the normal distribution which is an important continuous probability distribution of quantitative phenomena. Through simulating the self-adaptive...
Research Article

Using regression trees to predict citrus load balancing accuracy and costs

G. R. R. Bóbeda, E. F. Combarro, S. Mazza, L. I. Giménez, I. Díaz
Pages: 79 - 89
In order to define management and marketing strategies, farmers need adequate knowledge about future yield with the greatest possible accuracy and anticipation. In citrus orchards, greater variability and non-normality of yield distributions complicate the early estimation of fruit production. This study...
Research Article

An Advanced Automatic Fuzzy Rule-Based Algorithm for 3D Vessel Segmentation

Mohamed A. Abdou, Ashraf El-Sayed, Eman Ali
Pages: 79 - 85
Fuzzy Logic has played an important role in medical image (MI) segmentation in the last decade. Automatic blood vessel segmentation from 3D medical images is an emerging area where segmentation algorithms could be combined with evolutionary computation methods for better diagnosis and higher decision...
Research Article

Three-Dimensional Multi-Mission Planning of UAV Using Improved Ant Colony Optimization Algorithm Based on the Finite-Time Constraints

Weiheng Liu, Xin Zheng
Pages: 79 - 87
An improved ant colony optimization (IACO) is proposed to solve three-dimensional multi-task programming under finite-time constraints. The algorithm introduces the artificial preemptive coefficient matrix into the transfer probability formula, which makes results convergence and also reduces the convergence...
Research Article

Weighting of Features in Content-Based Filtering with Entropy and Dependence Measures

Jorge Castro, Rosa M. Rodriguez, Manuel J. Barranco
Pages: 80 - 89
Content-based recommender systems (CBRS) are tools that help users to choose items when they face a huge amount of options, recommending items that better fit the user's profile. In such a process, it is very interesting to know which features of the items are more important for each user, thus the CBRS...
Research Article

An improved fruit fly optimization algorithm based on selecting evolutionary direction intelligently *

Wu Lei, Xiao Wensheng, Zhang Liang, Liu Qi, Wang Jingli
Pages: 80 - 90
As a novel global optimization algorithm, the fruit fly optimization algorithm FOA has been successfully applied in a variety of mathematic and engineering fields. For the purpose of accelerating the convergence speed and overcoming the shortcomings of FOA, an improved fruit fly optimization called SEDI-FOA...
Review Article

An Overview on Fuzzy Modelling of Complex Linguistic Preferences in Decision Making

Rosa M. Rodríguez, Álvaro Labella, Luis Martínez
Pages: 81 - 94
Decision makers involved in complex decision making problems usually provide information about their preferences by eliciting their knowledge with different assessments. Usually, the complexity of these decision problems implies uncertainty that in many occasions has been successfully modelled by means...
Research Article

Aumann Type Set-valued Lebesgue Integral and Representation Theorem

Jungang Li, Shoumei Li
Pages: 83 - 90
n this paper, we shall firstly illustrate why we should discuss the Aumann type set-valued Lebesgue integral of a set-valued stochastic process with respect to time t under the condition that the set-valued stochastic process takes nonempty compact subset of d -dimensional Euclidean space. After recalling...
Research Article

Combining boolean consistent fuzzy logic and ahp illustrated on the web service selection problem

Ivana Dragović, Nina Turajlić, Dragan Radojević, Bratislav Petrović
Pages: 84 - 93
The Analytical Hierarchy Process (AHP) idealistically assumes the independence of the criteria which are often interrelated, conflicting or can be traded-off. It is, therefore, proposed that AHP could be extended by applying fuzzy logic to adequately incorporate the different relationships that may exist...
Research Article

Some Induced Aggregating Operators with Fuzzy Number Intuitionistic Fuzzy Information and their Applications to Group Decision Making

Guiwi Wei, Xiaofei Zhao, Rui Lin
Pages: 84 - 95
With respect to multiple attribute group decision making (MAGDM) problems in which both the attribute weights and the expert weights take the form of real numbers, attribute values take the form of fuzzy number intuitionistic fuzzy numbers, a new group decision making analysis method is developed. Firstly,...
Research Article

Demand forecasting procedure for short life-cycle products with an actual food processing enterprise

Rie Gaku
Pages: 85 - 92
A procedure of demand forecasting using data mining techniques is proposed to forecast the sales amount of new short life-cycle products for an actual food processing enterprise. The enterprise annually produces 100∼150 kinds of new items with short life-cycle between one week and three months to...
Research Article

Semantics of Propositional Fuzzy Modal Logic with Evaluated Syntax and its Application to Fuzzy Decision Implications

Xiaodong Pan, Yang Xu
Pages: 85 - 93
This paper deals with propositional fuzzy modal logic with evaluated syntax based on MV-algebras. We focus on its semantical theory from the viewpoint of Pavelka's graded semantics of propositional fuzzy logic, investigate the L-tautologies based on different Kripke frames. We also define the notion...
Research Article

A Hybrid Method for Traffic Flow Forecasting Using Multimodal Deep Learning

Shengdong Du, Tianrui Li, Xun Gong, Shi-Jinn Horng
Pages: 85 - 97
Traffic flow forecasting has been regarded as a key problem of intelligent transport systems. In this work, we propose a hybrid multimodal deep learning method for short-term traffic flow forecasting, which can jointly and adaptively learn the spatial–temporal correlation features and long temporal interdependence...
Research Article

Evaluation of Expert Systems Techniques for Classifying Different Stages of Coffee Rust Infection in Hyperspectral Images

Wilson Castro, Jimy Oblitas, Jorge Maicelo, Himer Avila-George
Pages: 86 - 100
In this work, the use of expert systems and hyperspectral imaging in the determination of coffee rust infection was evaluated. Three classifiers were trained using spectral profiles from different stages of infection, and the classifier based on a support vector machine provided the best performance....
Research Article

An Interactive Approach Based on Alternative Achievement Scale and Alternative Comprehensive Scale for Multiple Attribute Decision Making under Linguistic Environment

Yejun Xu, Huimin Wang, Daniel Palacios-Marqués
Pages: 87 - 95
The aim of this paper is to develop an interactive approach for multiple attribute decision making with incomplete weight information under linguistic environment. Some of the concepts are defined, such as the distance between two 2-tuple linguistic variables, the expectation level of alternative, the...
Research Article

LPBoost with Strong Classifiers

Jun L. Zhou, Yu K. Fang, Yan Fu, Chong J. Sun
Pages: 88 - 100
The goal of boosting algorithm is to maximize the minimum margin on sample set. Based on minimax theory, the goal can be converted into minimize the maximum edge. This idea motivates LPBoost and its variants (including TotalBoost, SoftBoost, ERLPBoost) which solve the optimization problem by linear programming....
Research Article

Underwater Image Restoration and Enhancement via Residual Two-Fold Attention Networks

Bo Fu, Liyan Wang, Ruizi Wang, Shilin Fu, Fangfei Liu, Xin Liu
Pages: 88 - 95
Underwater images or videos are common but essential information carrier for observation, fishery industry and intelligent analysis system in underwater vehicles. But underwater images are usually suffering from more complex imaging interfering impacts. This paper describes a novel residual two-fold...
Research Article

Towards the Applied Hybrid Model in Decision Making: A Neuropsychological Diagnosis of Alzheimer's Disease Study Case

Ana Karoline Araujo de Castro, Placido Rogério Pinheiro, Mirian Caliope Dantas Pinheiro, Isabelle Tamanini
Pages: 89 - 99
A hybrid model, combining influence diagrams and a multicriteria method, is presented in order to assist with the decision making process about which questions would be more attractive to the definition of the diagnosis of Alzheimer's disease, considering the stages of Clinical Dementia Rating. The modeling...
Research Article

Integrating Gradient Search, Logistic Regression and Artificial Neural Network for Profit Based Unit Commitment

A. Amudha, C. Christober Asir Rajan
Pages: 90 - 104
As the electrical industry restructures many of the traditional algorithms for controlling generating units, they need either modification or replacement. In the past, utilities had to produce power to satisfy their customers with the objective to minimize costs and actual demand/reserve were met. But...
Research Article

Soft points, s-relations and soft rough approximate operations

Guangji Yu
Pages: 90 - 103
Soft set theory is a new mathematical tool to deal with uncertain problems. Since soft sets are defined by mappings and they lack “points”, managing them is not convenient. In this paper, the concept of soft points is introduced and the relationship between soft points and soft sets is investigated....
Research Article

Fuzzy Rough Graph Theory with Applications

Muhammad Akram, Maham Arshad, Shumaiza
Pages: 90 - 107
Fuzzy rough set theory is a hybrid method that deals with vagueness and uncertainty emphasized in decision-making. In this research study, we apply the concept of fuzzy rough sets to graphs. We introduce the notion of fuzzy rough digraphs and describe some of their methods of construction. In particular,...
Research Article

On the Supply of Superior Order-1 Building Blocks for a Class of Periodical Fitness Functions

Hongqiang Mo, Zhong Li, JinBae Park, YoungHoon Joo
Pages: 91 - 98
In addition to GA-deception, the lack of fitness differences among low-order schemata can also degrade GA's search. Therefore, a coding should present adequate superior low-order building blocks at the early stage of search. This paper aims to reveal the inherent periodicity in the search process of...
Research Article

Cross-docking Location Selection in Distribution Systems: A New Intuitionistic Fuzzy Hierarchical Decision Model

S. Meysam Mousavi, Behnam Vahdani
Pages: 91 - 109
This paper introduces a new intuitionistic fuzzy hierarchical group decision-making (IFHGDM) model for the cross-docking location selection problem. The model is based on intuitionistic fuzzy modified group complex proportional assessment and group order preference by similarity to ideal solution, structuring...
Research Article

A New Multidisciplinary Design Optimization Method Accounting for Discrete and Continuous Variables under Aleatory and Epistemic Uncertainties

Hong-Zhong Huang, Xudong Zhang, De-Biao Meng, Yu Liu, Yan-Feng Li
Pages: 93 - 110
Various uncertainties are inevitable in complex engineered systems and must be carefully treated in design activities. Reliability-Based Multidisciplinary Design Optimization (RBMDO) has been receiving increasing attention in the past decades to facilitate designing fully coupled systems but also achieving...
Research Article

Criteria Weighting and 4P's Planning in Marketing Using a Fuzzy Metric Distance and AHP Hybrid Method

Tuncay Gürbüz, Y.Esra Albayrak, Elif Alaybeyoğlu
Pages: 94 - 104
Production and consumption relationship shows that marketing plays an important role in enterprises. In the competitive market, it is very important to be able to sell rather than produce. Nowadays, marketing is customer- oriented and aims to meet the needs and expectations of customers to increase their...
Review Article

Current Computational Trends in Equipment Prognostics

J. Wesley Hines, Alexander Usynin
Pages: 94 - 102
CURRENT COMPUTATIONAL TRENDS IN EQUIPMENT PROGNOSTICS The article overviews current trends in research studies related to reliability prediction and prognostics. The trends are organized into three major types of prognostic models: failure data models, stressor models, and degradation models. Methods...
Research Article

Double Circuit EHV Transmission Lines Fault Location with RBF Based Support Vector Machine and Reconstructed Input Scaled Conjugate Gradient Based Neural Network

K. Gayathri, N. Kumarappan
Pages: 95 - 105
A new algorithm is developed to enhance the solution for the problems associated with double circuit transmission lines for the mutual coupling between the two circuits under fault conditions and which is highly variable in nature. The algorithm depends on the three-line voltages and the six line currents...
Review Article

Fuzzy Approaches to Flexible Querying in XML Retrieval

Stefania Marrara, Gabriella Pasi
Pages: 95 - 103
In this paper we review some approaches to flexible querying in XML that apply several techniques among which Fuzzy Set Theory. In particular we focus on FleXy, a flexible extension of XQuery-FT that was developed as a library on the open source engine Base-X. We then present PatentLight, a tool for...
Research Article

Ensemble ANNs-PSO-GA Approach for Day-ahead Stock E-exchange Prices Forecasting

Yi Xiao, Jin Xiao, Fengbin Lu, Shouyang Wang
Pages: 96 - 114
Stock e-exchange prices forecasting is an important financial problem that is receiving increasing attention. This study proposes a novel three-stage nonlinear ensemble model. In the proposed model, three different types of neural-network based models, i.e. Elman network, generalized regression neural...
Research Article

Exponential stability analysis for delayed stochastic Cohen-Grossberg neural network

Guanjun Wang, Jinling Liang
Pages: 96 - 102
In this paper, the exponential stability problems are addressed for a class of delayed Cohen-Grossberg neural networks which are also perturbed by some stochastic noises. By employing the Lyapunov method, stochastic analysis and some inequality techniques, sufficient conditions are acquired for checking...
Research Article

Fault Tree Construction Model Based on Association Analysis for Railway Overhead Contact System

Kaiyi Qian, Long Yu, Shibin Gao
Pages: 96 - 105
The overhead contact system (OCS) is the power source of electrified railway, it is very important to evaluate the system status accurately to maintain its safe and stable operation. At present, fault tree analysis is the main method of reliability assessment for OCS. Existent methods to establish the...
Research Article

Enhanced Particle Swarm Optimization Based on Reference Direction and Inverse Model for Optimization Problems

Wei Li, Yaochi Fan, Qingzheng Xu
Pages: 98 - 129
While particle swarm optimization (PSO) shows good performance for many optimization problems, the weakness in premature convergence and easy trapping into local optimum, due to the ignorance of the diversity information, has been gradually recognized. To improve the optimization performance of PSO,...
Research Article

Particle Swarm Optimization with Novel Processing Strategy and its Application

Yuanxia Shen, Wang, Chunmei Tap
Pages: 100 - 111
The loss of population diversity is one of main reasons which lead standard particle swarm optimization (SPSO) to suffer from the premature convergence when solving complex multimodal problems. In SPSO, the personal experience and sharing experience are processed with a completely random strategy. It...
Research Article

Quantum Dynamic Mechanism-based Parallel Ant Colony Optimization Algorithm

Xiao-ming You, Sheng Liu, Yu-ming Wang
Pages: 101 - 113
A novel Parallel Ant Colony Optimization Algorithm based on Quantum dynamic mechanism for traveling salesman problem (PQACO) is proposed. The use of the improved 3-opt operator provides this methodology with superior local search ability; several antibody diversification schemes were incorporated into...
Research Article

Missing values estimation and consensus building for incomplete hesitant fuzzy preference relations with multiplicative consistency

Yejun Xu, Caiyun Li, Xiaowei Wen
Pages: 101 - 119
This paper proposes a decision support process for incomplete hesitant fuzzy preference relations (HFPRs). First, we present a revised definition of HFPRs, in which the values are not ordered for the hesitant fuzzy element. Second, we propose a method to normalize the HFPRs and estimate the missing elements...
Research Article

New Vector Ordering in the RedGreenBlue Colour Model with Application to Morphological Image Magnification

Valérie de Witte, Stefan Schulte, Etienne E. Kerre
Pages: 103 - 115
In this paper we present a new vector ordering ≤RGB for colours modelled in the RedGreenBlue colour model. The RedGreenBlue colour model becomes with this new ordering and associated minimum and maximum operators a complete lattice. We also have defined a complement co for colours in the RedGreenBlue...
Research Article

A New Fuzzy MADM Approach and its Application to Project Selection Problem

Ali Pahlavani
Pages: 103 - 114
In this paper, a novel fuzzy MADM model with some specifications that make it distinguished from the available methods. Decision matrix is defined as a full fuzzy structure. The model only uses information on the alternatives i.e. does not require pre-assigned weight values for the attributes. The weights...
Research Article

The Influence of the Update Dynamics on the Evolution of the Cooperation

Carlos Grilo, Luis Correia
Pages: 104 - 114
We investigate the influence of the update dynamics on the evolution of cooperation. Three of the most studied games in this area are used: Prisoner’s Dilemma, Snowdrift and the Stag Hunt. Previous studies with the Prisoner’s Dilemma game reported that less cooperators survive with the asynchronous...
Research Article

Voronoi Fuzzy Clustering Approach for Data Processing in WSN

S. Nithyakalyani, S. Suresh Kumar
Pages: 105 - 113
Clustering for data aggregation is essential nowadays for increasing the wireless sensor network (WSN) lifetime, by collecting the monitored information within a cluster at a cluster head. The clustering algorithm reduces overall transmission of data from each sensor to the sink node thus energy spent...
Research Article

Weighting Under Ambiguous Preferences and Imprecise Differences in a Cardinal Rank Ordering Process

Mats Danielson, Love Ekenberg, Aron Larsson, Mona Riabacke
Pages: 105 - 112
The limited amount of good tools for supporting elicitation of preference information in multi-criteria decision analysis (MCDA) causes practical problem. In our experiences, this can be remedied by allowing more relaxed input statements from decision-makers, causing the elicitation process to be less...
Research Article

Computer Aided Diagnosis System-A Decision Support System for Clinical Diagnosis of Brain Tumours

Puneet Tiwari, Jainy Sachdeva, Chirag Kamal Ahuja, Niranjan Khandelwal
Pages: 104 - 119
The iso, hypo or hyper intensity, similarity of shape, size and location complicates the identification of brain tumors. Therefore, an adequate Computer Aided Diagnosis (CAD) system is designed for classification of brain tumor for assisting inexperience radiologists in diagnosis process. A multifarious...
Research Article

Solutions to Open Problems on Fuzzy Filters of -algebras

Wang Wei, Arsham Borumand Saeid
Pages: 106 - 113
This paper focuses on the investigation of fuzzy filters of -algebras, an important and popular generic logical algebra. By studying the equivalent conditions of fuzzy fantastic filter and fuzzy normal filter of -algebras, the relation between these two filters are revealed. Two open problems of -algebras,...
Research Article

Dictionary Learning Approach to Monitoring of Wind Turbine Drivetrain Bearings

Sergio Martin-del-Campo, Fredrik Sandin, Daniel Strömbergsson
Pages: 106 - 121
Condition monitoring is central to the efficient operation of wind farms due to the challenging operating conditions, rapid technology development, and a large number of aging wind turbines. In particular, predictive maintenance planning requires the early detection of faults with few false positives....
Research Article

Multi-Scale Fuzzy Feature Selection Method applied to Wood Singularity Identification

Vincent BOMBARDIER, Laurent WENDLING
Pages: 108 - 122
A multi-scale feature selection method based on the Choquet Integral is presented in this paper. Usually, aggregation decision-making problems are well solved, relying on few decision rules associated to a small number of input parameters. However, many industrial applications require the use of numerous...
Research Article

Anesthesiology Nurse Scheduling using Particle Swarm Optimization

Leopoldo Altamirano, María Cristina Riff, Ignacio Araya, Lorraine Trilling
Pages: 111 - 125
In this article we present an approach designed to solve a real world problem: the Anesthesiology Nurse Scheduling Problem (ANSP) at a public French hospital. The anesthesiology nurses are one of the most shared resources in the hospital and we attempt to find a fair/balanced schedule for them, taking...
Research Article

Hesitant Fuzzy Filters in BE-algebras

Akbar Rezaei, Arsham Borumand Saeid
Pages: 110 - 119
In this paper, we introduce the notion of hesitant fuzzy (implicative) filters and get some results on BE-algebras and show that every hesitant fuzzy implicative filter is a hesitant fuzzy filter but not the converse. Finally, we state and prove the relationship between hesitant fuzzy (implicative) filters...
Research Article

Incremental Versus Non-incremental: Data and Algorithms Based on Ordering Relations

Xiuyi Jia, Lin Shang, Jiajun Chen, Xinyu Dai
Pages: 112 - 122
Based on multi-dominance discernibility matrices, a non-incremental algorithm RIDDM and an incremental algorithm INRIDDM are proposed by means of Dominance-based Rough Set Approach. For the incremental algorithm, when a new object arrives, after updating one row or one column in the matrix, we could...
Research Article

Offline recognition of degraded numeral characters with MMTD-based fuzzy classifiers

Weiqing Cheng, Long Hong, Shaobai Zhang
Pages: 113 - 120
Enabling machines to read like human beings has been a hot issue for more than fifty years. A novel offline degraded numeral recognition method (DNRBM) based on the measure of medium truth degree (MMTD) is proposed in this paper to identify segmented degraded numeral characters in gray images. It consists...
Research Article

The process incapability index under fuzziness with an application for decision making

İhsan Kaya
Pages: 114 - 128
Process capability indices (PCIs) provide numerical measures on whether a process confirms to the defined capability prerequisite. They have been used to measure the ability of process to decide how well the process meets the specification limits (SLs). The PCIs have been successfully applied by companies...
Research Article

Interval-Valued Linear Model

Xun Wang, Shoumei Li, Thierry Denœux
Pages: 114 - 127
This paper introduces a new type of statistical model: the interval-valued linear model, which describes the linear relationship between an interval-valued output random variable and real-valued input variables. Firstly, notions of variance and covariance of set-valued and interval-valued random variables...
Research Article

Research on Inventory Control Policies for Nonstationary Demand based on TOC

Leng Kaijun, Wang Yuxia
Pages: 114 - 128
An effective inventory replenishment method employed in the supply chain is one of the key factors to achieving low inventory while maintaining high customer delivery performance. The state of demand process is often not directly observed by the decision maker. Thus, in many literatures, the inventory...
Research Article

On aggregation of metric structures: the extended quasi-metric case

Sebastià Massanet, Oscar Valero
Pages: 115 - 126
In 1981, J. Borsík and J. Doboš studied and solved the problem of how to merge, by means of a function, a (not necessarily finite) collection of metrics in order to obtain a single one as output. Later on, in 2010, G. Mayor and O. Valero proposed and solved the Borsík and Doboš...