International Journal of Computational Intelligence Systems

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1410 articles
Research Article

Short-term Power Demand Forecasting using the Differential Polynomial Neural Network

Ladislav Zjavka
Pages: 297 - 306
Power demand forecasting is important for economically efficient operation and effective control of power systems and enables to plan the load of generating unit. The purpose of the short-term electricity demand forecasting is to forecast in advance the system load, represented by the sum of all consumers...
Research Article

Driver's various information process and multi-ruled decision-making mechanism: a fundamental of intelligent driving shaping model

Wuhong Wang, Yan Mao, Jing Jin, Xiao Wang, Hongwei Guo, Xuemei Ren, Katsushi Ikeuchi
Pages: 297 - 305
The most difficult but important problem in advance driver assistance system development is how to measure and model the behavioral response of drivers with focusing on the cognition process. This paper describes driver's deceleration and acceleration behavior based on driving situation awareness in...
Research Article

Novel Complex T-Spherical Fuzzy 2-Tuple Linguistic Muirhead Mean Aggregation Operators and Their Application to Multi-Attribute Decision-Making

Peide Liu, Zeeshan Ali, Tahir Mahmood
Pages: 295 - 331
Complex T-spherical fuzzy 2-tuple linguistic set (CTSF2-TLS), which is a combination of complex fuzzy set (CFS), T-spherical fuzzy set (TSFS), and 2-tulpe linguistic variable set (2-TLVS), is a proficient technique to express uncertain and awkward information in real decision-making. CTSF2-TLS contains...
Research Article

Re-editing and Censoring of Detectors in Negative Selection Algorithm

X.Z. Gao, S. J. Ovaska, X. Wang
Pages: 298 - 311
The Negative Selection Algorithm (NSA) is a kind of novelty detection method inspired by the biological self/nonself discrimination principles. In this paper, we propose two new schemes for the detectors re-editing and censoring in the NSA. The detectors that fail to pass the negative selection phase...
Research Article

Automatic Extraction of Attributes and Entities for Product Differentiation

Abhijeet Ramesh Thakare, Parag S. Deshpande
Pages: 296 - 315
This paper introduces a novel concept of web-spreadsheet, which extracts product information by crawling through related web pages and generates information like a spreadsheet where each row represents product information and each column represents product attributes. Using Decision Tree based classifier,...
Research Article

Human Centric Recognition of 3D Ear Models

Guy De Tré, Robin De Mol, Dirk Vandermeulen, Peter Claes, Jeroen Hermans, Joachim Nielandt
Pages: 296 - 310
Comparing ear photographs is considered to be an important aspect of disaster victim identification and other forensic and security applications. An interesting approach concerns the construction of 3D ear models by fitting the parameters of a ‘standard’ ear shape, in order to transform it into an optimal...
Research Article

Support Vector Regression with Interval-Input Interval-Output

Wensen An, Cecilio Angulo, Yanguang Sun
Pages: 299 - 303
Support vector machines (classification and regression) are powerful machine learning techniques for crisp data. In this paper, the problem is considered for interval data. Two methods to deal with the problem using support vector regression are proposed and two new methods for evaluating performance...
Research Article

Multi-attribute Evaluation of Website Quality in E-business Using an Integrated Fuzzy AHPTOPSIS Methodology

Tolga Kaya
Pages: 301 - 314
Success of an e-business company is strongly associated with the relative quality of its website compared to that of its competitors. The purpose of this study is to propose a multi-attribute e-business website quality evaluation methodology based on a modified fuzzy TOPSIS approach. In the proposed...
Research Article

A Methodology to Refine Labels in Web Search Results Clustering

Zaher Salah, Ahmad Aloqaily, Malak Al-Hassan, Abdel-Rahman Al-Ghuwairi
Pages: 299 - 310
Information retrieval systems like web search engines can be used to meet the user’s information needs by searching and retrieving the relevant documents that match the user’s query. Firstly, the query is inputted to the web search engine and assumed to be a good representative for the user’s intention...
Research Article

Research on National Pattern Reuse Design and Optimization Method Based on Improved Shape Grammar

Ning Ding, Jian Lv, Lai Hu
Pages: 300 - 309
Considering the low degree of abstraction of traditional shape grammar in national pattern reuse design, this paper proposes a method based on the combination of improved shape grammar and an optimization algorithm to reuse national patterns design. As an application example, we carried out research...
Research Article

An Image Based Approach to Compute Object Distance

Ashfaqur Rahman, Abdus Salam, Mahfuzul Islam, Partha Sarker
Pages: 304 - 312
Computing object distance using image processing is an important research area in the field of computer vision and robot navigation applications. In this paper we have proposed a new method to compute the distance of an object using a single image. According to our observation there exists a relationship...
Research Article

Approximate cycles count in undirected graphs

Maytham Safar, Khaled Mahdi, Hisham Farahat, Saud Albehairy, Ali Kassem, Khalid Alenzi
Pages: 305 - 311
In social networks, counting the number of different cycle sizes can be used to measure the entropy of the network that represents its robustness. The exact algorithms to compute cycles in a graph can generate exact results but they are not guaranteed to run in a polynomial time. We present an approximation...
Research Article

Design of DDS based on Hybird-CORDIC Architecture

Xiujie Qu, He Chen, Yubin Zhang, Yingtao Ding
Pages: 306 - 313
Communication technology and its signal processing are basic supportive factors of intelligent transportation system. Because of rapid progress in modern communication engineering, direct digital synthesizer (DDS) is widely used in communications system. However, traditional DDS technology is encountering...
Research Article

Fast Fuzzy Inference in Octave

Piero Molino, Gianvito Pio, Corrado Mencar
Pages: 307 - 317
Fuzzy relations are simple mathematical structures that enable a very general representation of fuzzy knowledge, and fuzzy relational calculus offers a powerful machinery for approximate reasoning. However, one of the most relevant limitations of approximate reasoning is the efficiency bottleneck. In...
Research Article

A Further Research on S-core for Interval Cooperative Games

Dengyuan Xie, Fei Guan, Qiang Zhang
Pages: 307 - 316
Interval cooperative game is a kind of model focusing on how to distribute the profit reasonably when payoffs of any alliance are interval numbers. In recent years, the existence and reasonableness of its solution have aroused widespread concern. In this paper, based on the conceptual analyses of various...
Research Article

A multi-affinity model for logistics network inspired by bio-system

Zhi-Hua Hu, Zhao-Han Sheng
Pages: 312 - 326
How can we deal with the increasing scale of large logistics network for the booming economy? The structure, mechanisms and principles upon the logistics network show an evolutionary tendency which is complex, and interesting for designing and optimizing logistics network. The adaptability, stability...
Editorial

Foreword

Tianrui Li
Pages: 312 - 314
Review Article

A Survey for Data Mining Framework for Polymer Matrix Composite Engineering Materials Design Applications

Hosahalli Doreswamy
Pages: 313 - 328
In this paper, a survey for Data Mining frame work has been done for proposing Data Mining methodologies to engineering materials design applications. An exhaustive literature survey made in this article has covered the modeling systems such as Analytical Model, Numerical Simulation Model and Computer...
Research Article

Hierarchical Bayesian Choice of Laplacian ARMA Models Based on Reversible Jump MCMC Computation

Suparman
Pages: 310 - 317
An autoregressive moving average (ARMA) is a time series model that is applied in everyday life for pattern recognition and forecasting. The ARMA model contains a noise which is assumed to have a specific distribution. The noise is often considered to have a Gaussian distribution. However in applications,...
Research Article

Multi-Body Dynamics Simulation of A Tracked Vehicle Power Train in Consideration of Multi-Source Excitations

Hui Liu, Shengping Fu, Changle Xiang
Pages: 314 - 320
This study proposed a new efficient method to investigate tracked vehicle gear transmission system dynamics applying Finite element theory and multi-body dynamics. Torsional excitation was simulated based on an engine dynamic model by considering flexibility of crankshaft, maximum fire pressure and variable...
Research Article

Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers

Abdul Malek Yaakob, Alexander Gegov
Pages: 311 - 324
The ability in providing result that is consistent with actual ranking remains the major concern in group decision making environment. The main aim of this paper is to introduce a novel modification of TOPSIS method to facilitate multi criteria decision making problems based on the concept of Z-numbers...
Research Article

A Validation Approach for Ontology-Based Real-time DBMS

Wided Ben Abid, Mohamed Ben Ahmed Mhiri, Malek Ben Salem, Emna Bouazizi, Faiez Gargouri
Pages: 311 - 317
Real-time DBMS (DataBase Management Systems) are an appropriate storage system under real-time constraints. However real-time DBMS do not implement inference or reasoning mechanisms. Ontologies on the other hand allow these mechanisms by creating formal representations of concepts, properties and relationships...
Research Article

On Knowledge Granulation and Applications to Classifier Induction in the Framework of Rough Mereology

Lech Polkowski, Piotr Artiemjew
Pages: 315 - 331
Knowledge granulation as proposed by Zadeh consists in making objects under discussion into classes called granules; objects within a granule are similar one to another to a satisfactory degree relative to a chosen similarity measure. Rough mereology as developed by Polkowski in a series of works is...
Research Article

Models for Multiple Attribute Group Decision Making with 2-Tuple Linguistic Assessment Information

Guiwu Wei, Xiaofei Zhao, Hongjun Wang, Rui Lin
Pages: 315 - 324
The aim of this paper is to investigate the multiple attribute group decision making(MAGDM) problems with 2-tuple linguistic assessment information, in which the information about attribute weights is incompletely known, and the attribute values take the form of linguistic assessment information. In...
Research Article

A Linguistic-Valued Approximate Reasoning Approach for Financial Decision Making

Xin Liu, Ying Wang, Xiaonan Li, Li Zou
Pages: 312 - 319
In order to process the linguistic-valued information with uncertainty in the financial decision- making, the present work uses a lattice-valued logical algebra - lattice implication algebra to deal with both comparable and incomparable linguistic truth-values. A new personal financial decision auxiliary...
Research Article

A Fuzzy TODIM Approach for the Supplier Selection Problem

Ömür Tosun, Gökhan Akyüz
Pages: 317 - 329
Supplier evaluation and selection is a kind of problem which includes multiple criteria of qualitative and quantitative properties. From different alternatives it requires to find the best option using different criteria and opinions of the decision makers. Because of the judgments or the bias of the...
Research Article

A new approach for testing fuzzy hypotheses based on fuzzy data

Mohsen Arefi, S. Mahmoud Taheri
Pages: 318 - 327
A new approach for testing fuzzy hypotheses based on fuzzy data is introduced. According to the proposed approach, a method is first developed based on the defined fuzzy point estimation, which are then used to make a procedure for testing fuzzy hypotheses. This approach has been used to test simple,...
Research Article

Using fuzzy rules for network behavior identification: application for differentiated services in an Ethernet network

Vincent Bombardier, Jean-Philippe Georges, Éric Rondeau, Idriss Diouri
Pages: 316 - 329
The Quality of Service (QoS) offered by a network is based on criteria such as delay, jitter and message loss. QoS management is crucial to ensure that the network respects the communication constraints defined by the application requirements. The network must dynamically manage QoS according to the...
Research Article

Videometrics-based Detection of Vibration Linearity in MEMS Gyroscope

Yong Zhou, Haigang Sun, Shiqiao Gao, Shaohua Niu
Pages: 321 - 328
MEMS gyroscope performs as a sort of sensor to detect angular velocity, with diverse applications in engineering including vehicle and intelligent traffic etc. A balanced vibration of driving module excited by electrostatic driving signal is the base MEMS gyroscope's performance. In order to analyze...
Research Article

Assessment of Healthcare Waste Treatment Alternatives Using an Integrated Decision Support Framework

Akshay Hinduja, Manju Pandey
Pages: 318 - 333
Healthcare waste (HCW) management has become a major environmental and public-health concern especially in developing countries, and therefore, it has been receiving increasing attention from both industrial practitioners and researcher in recent years. Selection of the optimal treatment technology for...
Research Article

Applying Heuristic Algorithms to Solve Inter-hospital Hierarchical Allocation and Scheduling Problems of Medical Staff

Ping-Shun Chen, Wen-Tso Huang, Tsung-Huan Chiang, Gary Yu-Hsin Chen
Pages: 318 - 331
To address the inter-hospital hierarchical allocation and scheduling problems, this research used the pooling resource concept to allocate medical staff among hospital branches as well as determine their monthly schedules. This study proposed a two-stage strategy. The first stage proposed three heuristic...
Research Article

Improving Transparency in Approximate Fuzzy Modeling Using Multi-objective Immune-Inspired Optimisation

Jun Chen, Mahdi Mahfouf
Pages: 322 - 342
In this paper, an immune inspired multi-objective fuzzy modeling (IMOFM) mechanism is proposed specifically for high-dimensional regression problems. For such problems, prediction accuracy is often the paramount requirement. With such a requirement in mind, however, one should also put considerable efforts...
Review Article

Project Control and Computational Intelligence: Trends and Challenges

José Alejandro Lugo García, Anié Bermudez Peña, Pedro Yobanis Piñero Pérez, Rafael Bello Pérez
Pages: 320 - 335
Project monitoring and control by using key performance indicators has become a widespread method for decision-making in project-oriented organizations. However, the current schools and IT tools created for this purpose require an upgrade in design due to imprecision, vagueness or uncertainty present...
Research Article

Integrated total cost and Tolerance Optimization with Genetic Algorithm

R.Sampath Kumar, N. Alagumurthi
Pages: 325 - 333
The tolerance allocation problem has been studied in the literature for decades, usually using mathematical programming (or) heuristic optimization approaches. Elegant tools for minimum cost tolerance allocation have been developed over several decades but still there is no specified tool to find the...
Research Article

An Integrated Intuitionistic Fuzzy Similarity Measures for Medical Problems

Kuo-Chen Hung, Pei-Kuang Wang
Pages: 327 - 343
The purpose of this paper is to develop an integrated similarity measures model based on intuitionistic fuzzy sets. This integrated model has improved two similarity measures methods: (1) Ye (, 53, 91-97 (2011)) presented a novel cosine similarity measures method for handling pattern recognition problems...
Research Article

An Efficient Binary Differential Evolution with Parameter Adaptation

Dongli Jia, Xintao Duan, Muhammad Khurram Khan
Pages: 328 - 336
Differential Evolution (DE) has been applied to many scientific and engineering problems for its simplicity and efficiency. However, the standard DE cannot be used in a binary search space directly. This paper proposes an adaptive binary Differential Evolution algorithm, or ABDE, that has a similar framework...
Research Article

A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets

José Carlos R. Alcantud, Rocío de Andrés Calle
Pages: 325 - 339
We provide a methodology to perform an extensive and systematized analysis of problems where experts voice their opinions on the attributes of projects through a hesitant fuzzy decision matrix. This provides the decision-maker with ample information on which he or she can rely in order to make the final...
Research Article

Designing Structural Parameters of Nonwovens Using Fuzzy Logic and Neural Networks

Philippe Vroman, Ludovic Koehl, Xianyi Zeng, Ting Chen
Pages: 329 - 339
In this paper, a computer aided system for designing nonwoven materials is presented. As an original approach in the field of nonwoven research, both quality measurement analysis and human knowledge processing are integrated in the system. It allows designers to optimize the structure of nonwoven materials...
Research Article

Tolerance-based Structural Design of Tubular-Structure Loading Equipments

Jiping Lu, Shuiyuan Tang, Jianhua Zuo, Hongli Fan, Zhonghua Jian, Shahid Butt
Pages: 329 - 336
Mechanical loading equipments are wildly used in transportation system. Positioning precision is one of the basic functions of machine tools, and structure design is the key to ensuring accuracy. According to the assembly process of tubular-structure, the paper analyzes motion modes to achieve tubular-structure...
Case Study

Multi-Criteria and Multi-Stage Facility Location Selection under Interval Type-2 Fuzzy Environment: A Case Study for a Cement Factory

Ferhan Cebi, İrem Otay
Pages: 330 - 344
The study proposes a comprehensive and systematic approach for multi-criteria and multi-stage facility location selection problem. To handle with high and more uncertainty in the evaluation and selection processes, the problem is solved by using multi-criteria decision making technique with interval...
Research Article

Intelligent Concepts for the Management of Information in Workflow Systems

Georg Peters, Roger Tagg
Pages: 332 - 342
Workflow systems are commonly used in industry, commerce and government. They provide computerized support for owners of repetitive, highly standardized business processes, with a means of controlling the execution of instances of those processes according to predefined process templates. However, many...
Research Article

Data-Intensive Service Provision Based on Particle Swarm Optimization

Lijuan Wang, Jun Shen
Pages: 330 - 339
The data-intensive service provision is characterized by the large of scale of services and data and also the high-dimensions of QoS. However, most of the existing works failed to take into account the characteristics of data-intensive services and the effect of the big data sets on the whole performance...
Research Article

Fuzzy Classifier Design using Modified Genetic Algorithm

P.Ganesh Kumar
Pages: 334 - 342
Development of fuzzy if- then rules and formation of membership functions are the important consideration in designing a fuzzy classifier system. This paper presents a Modified Genetic Algorithm (ModGA) approach to obtain the optimal rule set and the membership function for a fuzzy classifier. In the...
Research Article

An Extension of Social Network Group Decision-Making Based on TrustRank and Personas

Mei Cai, Yiming Wang, Zaiwu Gong
Pages: 332 - 340
With the development of social networking big data, social network group decision-making (SN-GDM) has been widely applied in many fields. This paper focuses on three main components: (1) the determination of the decision makers' (DMs) weights based on different social influence; (2) the anti-deception...
Research Article

Decision-Making Analysis Under Interval-Valued q-Rung Orthopair Dual Hesitant Fuzzy Environment

Sumera Naz, Muhammad Akram, Samirah Alsulami, Faiza Ziaa
Pages: 332 - 357
Interval-valued dual hesitant fuzzy set (IVDHFS) as an extended structure of hesitant fuzzy set (HFS), interval-valued HFS and dual hesitant fuzzy set (DHFS) has been developed and applied in multi-attribute decision-making (MADM) problem. While deciding the membership degree (MD) and nonmembership degree...
Research Article

A decision support model for multi-attribute group decision making using a multi-objective optimization approach

Jian Xiong, Yingwu Chen, Kewei Yang, Jing Liu
Pages: 337 - 353
The multi-attribute group decision making (MAGDM) problem has received considerable attention in the decision analysis field and fruitful achievements have been reported in the literature. This paper focuses on the MAGDM in which the subjective absolute judgement on alternatives with respect to evaluating...
Research Article

Optimization and Simulation of Machining Parameters in Radial-axial Ring Rolling Process

Shuiyuan Tang, Jiping Lu, Hongli Fan, Ruizhao Du, Zhonghua Jian, Ning Ma
Pages: 337 - 344
Ring rolling is a complicated process, in which rolling parameters influence directly the quality of ring. It is a process method with high productivity and few waste of material, widely used in transportation industry including automotive, shipbuilding, aerospace etc. During the rolling process of large-sized...
Research Article

A New Rewarding Mechanism for Branching Heuristic in SAT Solvers

Wenjing Chang, Yang Xu, Shuwei Chen
Pages: 334 - 341
Decision heuristic strategy can be viewed as one of the most central features of state-of-the-art conflict-driven clause-learning SAT solvers. Variable state independent decaying sum (VSIDS) still is the dominant branching heuristics because of its low cost. VSIDS consists of a rewarding mechanism for...
Research Article

A Performance Comparison of Neural Networks in Forecasting Stock Price Trend

Binghui Wu, Tingting Duan
Pages: 336 - 346
The stock price shows the character of complex non-linear system, along with changes of internal and external environmental factors in stock market. As a form of artificial intelligence, neural network can fully reveal the complex relationship between investors and price fluctuations. After comparing...
Research Article

Use of computational intelligence for the prediction of vacancy migration energies in atomistic kinetic monte carlo simulations

Nicolas Castin, Lorenzo Malerba, Roberto Pinheiro Domingos
Pages: 340 - 352
procedures for the calculation of point-defect migration energies in Atomistic Kinetic Monte Carlo (AKMC) simulations, as functions of the Local Atomic Configuration (LAC). Two approaches are considered: the Cluster Expansion (CE) and the Artificial Neural Network (ANN). The first is found to be unpromising...
Research Article

Finding Pareto-front Membership Functions in Fuzzy Data Mining

Chun-Hao Chen, Tzung-Pei Hong, VincentS. Tseng
Pages: 343 - 354
Transactions with quantitative values are commonly seen in real-world applications. Fuzzy mining algorithms have thus been developed recently to induce linguistic knowledge from quantitative databases. In fuzzy data mining, the membership functions have a critical influence on the final mining results....
Research Article

Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction

Anjum Reyaz-Ahmed, Yan-Qing Zhang, Robert W. Harrison
Pages: 343 - 352
A new sliding window scheme is introduced with multiple windows to form the protein data for SVM. Two new tertiary classifiers are introduced; one of them makes use of support vector machines as neurons in neural network architecture and the other tertiary classifier is a granular decision tree based...
Research Article

Parallel Sequential Pattern Mining of Massive Trajectory Data

Shaojie Qiao, Tianrui Li, Jing Peng
Pages: 343 - 356
The trajectory pattern mining problem has recently attracted much attention due to the rapid development of location-acquisition technologies, and parallel computing essentially provides an alternative method for handling this problem. This study precisely addresses the problem of parallel mining of...
Research Article

Recommending Garment Products in E-Shopping Environment by Exploiting an Evolutionary Knowledge Base

Junjie Zhang, Xianyi Zeng, Ludovic Koehl, Min Dong
Pages: 340 - 354
Garment purchasing through the e-shopping platforms has become an important trend for consumers of all parts of the world. More and more e-shopping platforms have proposed recommendation functions to consumers in order to make them to obtain more easily desired products and then increase shopping sales....
Research Article

A New Default Intensity Model with Fuzziness and Hesitation

Liang Wu, Ya-ming Zhuang, Wen Li
Pages: 340 - 350
With the increased financial market volatility, corporate defaults will suffer from the double impact of the external shocks and internal contagion effects. In the existing stochastic default intensity models, the valuation of sensitivity parameters requires a lot of historical data, however, the limited...
Research Article

Ischemia classification via ECG using MLP neural networks

J.I. Peláez, J.M. Doña, J.F. Fornari, G Serra
Pages: 344 - 352
This paper proposes a two stage system based in neural network models to classify ischemia via ECG analysis. Two systems based on artificial neural network (ANN) models have been developed in order to discriminate inferolateral and anteroposterior ischemia from normal electrocardiogram (ECG) and other...
Research Article

End-to-End Sequence Labeling via Convolutional Recurrent Neural Network with a Connectionist Temporal Classification Layer

Xiaohui Huang, Lisheng Qiao, Wentao Yu, Jing Li, Yanzhou Ma
Pages: 341 - 351
Sequence labeling is a common machine-learning task which not only needs the most likely prediction of label for a local input but also seeks the most suitable annotation for the whole input sequence. So it requires the model that is able to handle both the local spatial features and temporal-dependence...
Research Article

Multi-valued Neutrosophic Sets and Power Aggregation Operators with Their Applications in Multi-criteria Group Decision-making Problems

Juan-juan Peng, Jian-qiang Wang, Xiao-hui Wu, Jing Wang, Xiao-hong Chen
Pages: 345 - 363
In recent years, hesitant fuzzy sets (HFSs) and neutrosophic sets (NSs) have become a subject of great interest for researchers and have been widely applied to multi-criteria group decision-making (MCGDM) problems. In this paper, multi-valued neutrosophic sets (MVNSs) are introduced, which allow the...
Research Article

Incident Duration Prediction Based on Latent Gaussian Naive Bayesian classifier Dawei Li , Lin Chen , Jiangshan Ma

Dawei Li, Lin Cheng, Jiangshan Ma
Pages: 345 - 352
The probability distribution of duration is a critical input for predicting the potential impact of traffic incidents. Most of the previous duration prediction models are discrete, which divide duration into several intervals. However, sometimes the continuous probability distribution is needed. Therefore...
Research Article

A New Algorithm of Mining High Utility Sequential Pattern in Streaming Data

Huijun Tang, Yangguang Liu, Le Wang
Pages: 342 - 350
High utility sequential pattern (HUSP) mining has emerged as a novel topic in data mining, its computational complexity increases compared to frequent sequences mining and high utility itemsets mining. A number of algorithms have been proposed to solve such problem, but they mainly focus on mining HUSP...
Research Article

A Fuzzy Reasoning Approach for Assessing Morningness of Individuals Using Reduced Version of Morningness-Eveningness Questionnaire

Debasish Majumder, Subhashis Sahu, Animesh Biswas
Pages: 347 - 362
In this article assessment of morningness of individuals has been performed using fuzzy reasoning approach. The responses are quantified using fuzzy numbers. Based on experts’ opinion a fuzzy rule-base is prepared. The model is validated by considering responses of some students, selected randomly, and...
Research Article

Seeker Optimization Algorithm for Several Practical Applications

Yunfang Zhu, Chaohua Dai, Weirong Chen
Pages: 353 - 359
Optimization problems can often be simplified to the search for an optimal solution in the feasible search space. Based on the concept of simulating the act of human randomized search, a novel algorithm called seeker optimization algorithm (SOA) for real-parameter optimization is proposed in this paper....
Research Article

Obstacle Avoidance of a Class of Underactuated Robot Manipulators: GA based approach

Milan Zhang, Qingbo Liu, Yueqing Yu, Shanzeng Liu
Pages: 353 - 360
This paper presents a practical collision-free motion planning method for general underactuated robot manipulators. First the dynamic properties of underactuated robot manipulator are analyzed, and then the collision avoidance problem is formulated and solved as a position-based force control problem....
Research Article

Granular RBF NN Approach and Statistical Methods Applied to Modelling and Forecasting High Frequency Data

Dusan Marcek, Milan Marcek, Jan Babel
Pages: 353 - 364
We examine the ARCH-GARCH models for the forecasting of the bond price time series provided by VUB bank and make comparisons the forecast accuracy with the class of RBF neural network models. A limited statistical or computer science theory exists on how to design the architecture of RBF networks for...
Research Article

Simulation Analysis on Driving Behavior during Traffic Sign Recognition

Lishan Sun, Liya Yao, Jian Rong, Jinyan Lu, Bohua Liu, Shuwei Wang
Pages: 353 - 360
The traffic signs transfer trip information to drivers through vectors like words, graphs and numbers. Traffic sign with excessive information often makes the drivers have no time to read and understand, leading to risky driving. It is still a problem of how to clarify the relationship between traffic...
Research Article

Genetic Algorithm with a Local Search Strategy for Discovering Communities in Complex Networks

Dayou Liu, Di Jin, Carlos Baquero, Dongxiao He, Bo Yang, Qiangyuan Yu
Pages: 354 - 369
In order to further improve the performance of current genetic algorithms aiming at discovering communities, a local search based genetic algorithm (GALS) is here proposed. The core of GALS is a local search based mutation technique. In order to overcome the drawbacks of traditional mutation methods,...
Research Article

Fuzzy Based Image Forensic Tool for Detection and Classification of Image Cloning

Mohammad Farukh Hashmi, Avinash G. Keskar, Vikas Yadav
Pages: 351 - 375
With the easy availability of image processing and image editing tools, the cases of forgery have been raised in the last few years. Now days it is very difficult for a viewer and judicial authorities to verify authenticate a digital image. Cloning or copy-move technique is widely used as forgery to...
Research Article

Multimodal Emotion Recognition Method Based on Convolutional Auto-Encoder

Jian Zhou, Xianwei Wei, Chunling Cheng, Qidong Yang, Qun Li
Pages: 351 - 358
Emotion recognition is of great significance to computational intelligence systems. In order to improve the accuracy of emotion recognition, electroencephalogram (EEG) signals and external physiological (EP) signals are adopted due to their perfect performance in reflecting the slight variations of emotions,...
Research Article

Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD

C.J. Carmona, P. González, M.J. Gacto, M.J. del Jesus
Pages: 355 - 367
The main objective of subgroup discovery is to discover interesting and interpretable patterns with respect to a specific property. The use of evolutionary fuzzy systems provides good algorithms to approach this problem. In this sense, NMEEF-SD algorithm –one of the most representative evolutionary...
Research Article

NNIR: N-Non-Intersecting-Routing Algorithm for Multi-Path Resilient Routing in Telecommunications Applications

Lewis Veryard, Hani Hagras, Andrew Starkey, Anthony Conway, Gilbert Owusu
Pages: 352 - 365
In this paper, we will present a N-Non-Intersecting-Routing (NNIR) algorithm which is used to reduce the cost of resilient routing in telecommunications problems. Resilient Routing is the connections between two locations in a graph through the use of N completely independent routes. Resilient Routing...
Research Article

Automated Evaluation of Learners with ODALA: Application to Relational Databases E-learning

Farida Bouarab-Dahmani, Malik Si-Mohammed, Catherine Comparot, Pierre-Jean Charrel
Pages: 357 - 369
This paper deals with an approach for an automated evaluation of the learners' state of knowledge when learning by doing. This approach is called ODALA for "Ontology-Driven Auto-evaluation for e-Learning Approach". It takes place in the context of Computer Based Human Learning Environment (CBHLE) in...
Research Article

Dynamic composite decision-theoretic rough set under the change of attributes

Linna Wang, Xin Yang, Yong Chen, Ling Liu, Shiyong An, Pan Zhuo
Pages: 355 - 370
In practical decision-making, we prefer to characterize the uncertain problems with the hybrid data, which consists of various types of data, e.g., categorical data, numerical dada, interval-valued data and set-valued data. The extended rough sets can deal with single type of data based on specific binary...
Research Article

An Atanassov's intuitionistic Fuzzy Kernel Clustering for Medical Image segmentation

Tamalika Chaira, Anupam Panwar
Pages: 360 - 370
This paper suggests a novel method for medical image segmentation using kernel based Atanassov's intuitionistic fuzzy clustering. The widely used fuzzy c means clustering that uses Euclidean distance has many limitations in clustering the regions accurately. To overcome these difficulties, we introduce...
Research Article

Management of Uncertainty and Spatio-Temporal Aspects for Monitoring and Diagnosis in a Smart Home

Juan Carlos Augusto, Jun Liu, Paul McCullagh, Hui Wang, Jian-Bo Yang
Pages: 361 - 378
The health system in developed countries is facing a problem of scalability in order to accommodate the increased proportion of the elderly population. Scarce resources cannot be sustained unless innovative technology is considered to provide health care in a more effective way. The Smart Home provides...
Research Article

Identifying Method of Drunk Driving Based on Driving Behavior

Xiaohua Zhao, Xingjian Zhang, Jian Rong, Jianming Ma
Pages: 361 - 369
Drunk driving is one of the leading causes contributing to traffic crashes. There are numerous issues that need to be resolved with the current method of identifying drunk driving. Driving behavior, with the characteristic of real-time, was extensively researched to identify impaired driving behaviors....
Research Article

A Textural Distributions-Based Detection of Hazelnut Axial Direction

Wenju Zhou, Fulong Yao, Songyu Luan, Lili Wang, Johnkennedy Chinedu Ndubuisi, Xian Wu
Pages: 358 - 366
Since the shell of the hazelnuts is very hard, it is necessary to squeeze the slit in the axial direction to facilitate peeling. When the hazelnuts are automatically processed in the industry chain, the axial of the hazelnuts needs to be quickly positioned. In this paper, the sum of projection gradient...
Research Article

Further Complete Solutions to Four Open Problems on Filter of Logical Algebras

Wei Wang, Pengxi Yang, Yang Xu
Pages: 359 - 366
This paper focuses on the investigation of filters of pseudo BCK-algebra and BL-algebra, important and popular generic commutative and non-commutative logical algebras. By characterizing Boolean filter and implicative filter in pseudo BCK-algebra, the essential equivalent relation between these two filters...
Research Article

Speculation based Decision Support System for Efficient Resource Provisioning in Cloud Data Center

R.Leena Sri, N. Balaji
Pages: 363 - 374
Cloud Computing is a utility model that offers everything as a service and supports dynamical resource provisioning and auto-scaling in datacenter. Cloud datacenter must envision resource allocation and reallocation to meet out the unpredictable user demand that touted gains in the model. This impact...
Research Article

Discrete wavelet transform-based color image watermarking using uncorrelated color space and artificial bee colony

Manish Gupta, Girish Parmar, Rajeev Gupta, Mukesh Saraswat
Pages: 364 - 380
The exponential growth in electronic data over internet have increased the demand of a robust and high quality watermarking method for authentication and copyright protection. In general, the existing digital image watermarking methods embed the binary or gray scale watermark into the host image although...
Research Article

N-grams based feature selection and text representation for Chinese Text Classification

Zhihua Wei, Duoqian Miao, Jean-Hugues Chauchat, Rui Zhao, Wen Li
Pages: 365 - 374
In this paper, text representation and feature selection strategies for Chinese text classification based on n-grams are discussed. Two steps feature selection strategy is proposed which combines the preprocess within classes with the feature selection among classes. Four different feature selection...
Research Article

Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems

F. Chávez, F. Fernández, M.J. Gacto, R. Alcalá
Pages: 368 - 386
In this paper we propose a new approach for laser-based environment device control systems based on the automatic design of a Fuzzy Rule-Based System for laser pointer detection. The idea is to improve the success rate of the previous approaches decreasing as much as possible the false offs and increasing...
Research Article

A Multi-Criteria Group Decision-Making Approach Based on Improved BWM and MULTIMOORA with Normal Wiggly Hesitant Fuzzy Information

Chengxiu Yang, Qianzhe Wang, Weidong Peng, Jie Zhu
Pages: 366 - 381
Multi-criteria group decision-making (MCGDM) problems are widespread in real life. However, most existing methods, such as hesitant fuzzy set (HFS), hesitant fuzzy linguistic term set (HFLTS) and inter-valued hesitant fuzzy set (IVHFS) only consider the original evaluation data provided by experts but...
Research Article

Combination of interval set and soft set

Keyun Qin, Dan Meng, Zheng Pei, Yang Xu
Pages: 370 - 380
Soft set theory and interval set theory are all mathematical tools for dealing with uncertainties. This paper is devoted to the discussion of soft interval set and its application. The notion of soft interval sets is introduced by combining soft set and interval set. Several operations on soft interval...
Research Article

Application of an advanced fuzzy logic model for landslide susceptibility analysis

Biswajeet Pradhan
Pages: 370 - 381
The aim of this study is to evaluate the susceptibility of landslides at Klang valley area, Malaysia, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and...
Research Article

Analysis of the Maximum Straight Line Length for Prairie Highway using Driver's Heart Rate Variability

Yueying Huo, Wenquan Li, Jinhua Zhao, Shoulin Zhu
Pages: 370 - 377
The attention of driver traveling along a long straight line of prairie highway is easy to be distracted. In this paper, the correlation of straight line length and driver's attention is studied through laboratory simulation experiment and regression analysis. It can be theoretically concluded that the...
Research Article

A New Edge Detection Method Based on Global Evaluation Using Supervised Classification Algorithms

Pablo A. Flores-Vidal, Guillermo Villarino, Daniel Gómez, Javier Montero
Pages: 367 - 378
Traditionally, the last step of edge detection algorithms, which is called scaling-evaluation, produces the final output classifying each pixel as edge or nonedge. This last step is usually done based on local evaluation methods. The local evaluation makes this classification based on measures obtained...
Research Article

A Short Text Classification Method Based on Convolutional Neural Network and Semantic Extension

Haitao Wang, Keke Tian, Zhengjiang Wu, Lei Wang
Pages: 367 - 375
In order to solve the problem that traditional short text classification methods do not perform well on short text due to the data sparsity and insufficient semantic features, we propose a short text classification method based on convolutional neural network and semantic extension. Firstly, we propose...
Research Article

An Emotion-oriented Music Recommendation Algorithm Fusing Rating and Trust

Jiwei Qin, Qinghua Zheng, Feng Tian, Deli Zheng
Pages: 371 - 381
With the overwhelming increase of music, it has become difficult to find music which suits the taste of a listener who is in a certain state of emotion. Focusing on the listener's emotional state, this paper presents an emotion-oriented music recommendation algorithm. First, the listener's similarity...
Research Article

Learning Turkish Hypernymy Using Word Embeddings

Savaş Yıldırım, Tuğba Yıldız
Pages: 371 - 383
Recently, Neural Network Language Models have been effectively applied to many types of Natural Language Processing (NLP) tasks. One popular type of tasks is the discovery of semantic and syntactic regularities that support the researchers in building a lexicon. Word embedding representations are notably...
Research Article

Times Series Forecasting using Chebyshev Functions based Locally Recurrent neuro-Fuzzy Information System

A.K. Parida, R. Bisoi, P.K. Dash, S. Mishra
Pages: 375 - 393
The model proposed in this paper, is a hybridization of fuzzy neural network (FNN) and a functional link neural system for time series data prediction. The TSK-type feedforward fuzzy neural network does not take the full advantage of the use of the fuzzy rule base in accurate input-output mapping and...
Research Article

Combining Resting-state fMRI and DTI Analysis for Early-onset Schizophrenia

Ming Ke, Hui Shen, Jintu Fan, Xing Huang, Zongtan Zhou, Xiaogang Chen, Dewen Hu
Pages: 375 - 385
We combined measures of resting-state functional magnetic resonance imaging and diffusion tensor imaging (DTI) to investigate alterations of function-structure relationships in patients with early-onset schizophrenia. DTI analysis revealed reduced fractional anisotropy in right frontal white matter....
Research Article

CyberTORCS: An Intelligent Vehicles Simulation Platform for Cooperative Driving

Ming Yang, Nianfeng Wan, Bing Wang, Chunxiang Wang, Jianping Xie
Pages: 378 - 385
Simulation platforms play an important role in helping intelligent vehicle research, especially for the research of cooperative driving due to the high cost and risk of the real experiments. In order to ease and bring more convenience for cooperative driving tests, we introduce an intelligent vehicle...
Research Article

Neural Network Based Traffic Prediction for Wireless Data Networks

Gowrishankar, P.S. Satyanarayana
Pages: 379 - 389
In a wireless network environment accurate and timely estimation or prediction of network traffic has gained much importance in the recent past. The network applications use traffic prediction results to maintain its performance by adopting its behaviors. Network Service provider will use the prediction...
Research Article

Electricity Peak Load Forecasting using CGP based Neuro Evolutionary Techniques

Gul Muhammad Khan, Rabia Arshad
Pages: 376 - 395
Proficient Economic and Financial planning is critical to the successful and efficient operation of power generating and distributing units. This planning becomes quite facile if the accurate and precise knowledge regarding the required power load is ascertained. This research is an innovative effort...
Research Article

Research of Synergy Warning System for Gas Outburst Based on Entropy-Weight Bayesian

Jiayong Zhang, Zibo Ai, Liwen Guo, Xiao Cui
Pages: 376 - 385
Based on the statistical analysis of coal occurrence characteristics, and dynamic phenomena of coal and rock in Qianjiaying coal mine, China, an area–local outburst early warning system based on outburst key factors and early warning indicators was constructed. Statistical analysis of anomaly features...
Research Article

Linguistic interval 2-tuple power aggregation operators and their applications

Yanli Ruan, Zheng Pei, Zhisheng Gao
Pages: 381 - 395
In this paper, we present a linguistic interval 2-tuple representation model and new linguistic interval 2-tuple aggregation operators, i.e., linguistic interval 2-tuple power average (LI2TPA) operator, linguistic interval 2-tuple weighted power average (LI2TWPA) operator and linguistic interval 2-tuple...
Research Article

Dynamics of High-order Fuzzy Cellular Neural Networks with Time-varying Delays

Manchun Tan, Shuping Xu, Zhong Li
Pages: 381 - 394
In this paper, dynamic behavior of a class of high-order fuzzy cellular neural networks (HFCNNs) with time-varying delays is investigated. Compared with the previous results in the literature, the restrictions are loosed, since we do not assume the boundedness and monotonicity on the activation functions,...
Research Article

Filtration of Non-Monotonic Rules for Fuzzy Rule Base Compression

Alexander Gegov, Neelamugilan Gobalakrishnan, David Sanders
Pages: 382 - 400
This paper proposes a rule base compression method for fuzzy systems. The method is based on filtration of rules with identical linguistic values for the output that are known as non-monotonic rules. The filtration removes the redundant computations in the fuzzy inference with respect to the crisp values...
Review Article

Computing with Words in Decision support Systems: An overview on Models and Applications

Luis Martinez, Da Ruan, Francisco Herrera
Pages: 382 - 395
Decision making is inherent to mankind, as human beings daily face situations in which they should choose among different alternatives by means of reasoning and mental processes. Many of these decision problems are under uncertain environments with vague and imprecise information. This type of information...
Research Article

Fusion of Measures for Image Segmentation Evaluation

Macmillan Simfukwe, Bo Peng, Tianrui Li
Pages: 379 - 386
Image segmentation is an important task in image processing. However, no universally accepted quality scheme exists for evaluating the performance of various segmentation algorithms or just different parameterizations of the same algorithm. In this paper, an extension of a fusion-based framework for...