Search all articles

+ Advanced search
Search articles within:
132013 articles

Uncertain Bonferroni Mean Operators

Zeshui Xu
Pages: 761 - 769
The Bonferroni mean is a traditional mean type aggregation operator bounded by the max and min operators, which is suitable to aggregate the crisp data. In this paper, we consider situations where the input data are interval numbers. We develop some uncertain Bonferroni mean operators, and then combine...

Duopoly Market Analysis within One-Shot Decision Framework with Asymmetric Possibilistic Information

Peijun Guo, Ruiliang Yan, John Wang
Pages: 786 - 796
In this paper, a newly emerging duopoly market with a short life cycle is analyzed. The partially known information of market is characterized by the possibility distribution of the parameter in the demand function. Since the life cycle of the new product is short, how many products should be produced...

Tunnel Surrounding Rock Displacement Prediction Using Support Vector Machine

Bao-Zhen Yao, Jian Sun, Cheng-Yong Yang, Jin-Bao Yao
Pages: 843 - 852
Multi-step-ahead prediction of tunnel surrounding rock displacement is an effective way to ensure the safe and economical construction of tunnels. This paper presents a multi-step-ahead prediction model, which is based on support vector machine (SVM), for tunnel surrounding rock displacement prediction....

A Modified Support Vector Machine model for Credit Scoring

Xiaoyong Liu, Hui Fu, Weiwei Lin
Pages: 797 - 804
This paper presents a novel quantitative credit scoring model based on support vector machine (SVM) with adaptive genetic algorithm, gr-GA-SVM. In this study, two real world credit datasets in the University of California Irvine Machine Learning Repository are selected for the numerical experiments....

Performance Based Clustering for Benchmarking of Container Ports: an Application of Dea and Cluster Analysis Technique

Jie Wu, Liang Liang, Malin Song
Pages: 709 - 722
The operational performance of container ports has received more and more attentions in both academic and practitioner circles, the performance evaluation and process improvement of container ports have also been the focus of several studies. In this paper, Data Envelopment Analysis (DEA), an effective...

Simultaneous feature selection and classification via Minimax Probability Machine

Liming Yang, Laisheng Wang, Yuhua Sun, Ruiyan Zhang
Pages: 754 - 760
This paper presents a novel method for simultaneous feature selection and classification by incorporating a robust L1-norm into the objective function of Minimax Probability Machine (MPM). A fractional programming framework is derived by using a bound on the misclassification error involving the mean...

Performance Enhancement of Data Classification using Selectively Cloned Genetic Algorithm for Neural Network

Devinder Kaur, Praneeth Nelapati
Pages: 723 - 732
The paper demonstrates performance enhancement using selective cloning on evolutionary neural network over the conventional genetic algorithm and neural back propagation algorithm for data classification. Introduction of selective cloning improves the convergence rate of the genetic algorithm without...

A Multi-Criteria Decision Model for Architecturing Competence in Human Performance Technology

Yasemin C. Erensal, Tuncay Gürbüz, Y. Esra Albayrak
Pages: 815 - 831
In a continuously changing environment, like globalization, technological innovation, restructuring and outsourcing, organizations can no longer cope without continually developing their competencies and human resources. As a result academic research and company practices have actively started to develop...

A hybrid algorithm to minimize makespan for the permutation flow shop scheduling problem

Fardin Ahmadizar, Farnaz Barzinpour
Pages: 853 - 861
This paper deals with the permutation flow shop scheduling problem. The objective is to minimize the maximum completion time, or makespan. To solve this problem which has been proved to be strongly NP-hard, a combination between an ant colony algorithm, a heuristic algorithm and a local search procedure...

Uncertainty and Preference Modelling for Multiple Criteria Vehicle Evaluation

Qiuping Yang, Xinlian Xie, Dong-Ling Xu, Jian-Bo Yang, Anil Kumar Maddulapalli
Pages: 688 - 708
A general framework for vehicle assessment is proposed based on both mass survey information and the evidential reasoning (ER) approach. Several methods for uncertainty and preference modeling are developed within the framework, including the measurement of uncertainty caused by missing information,...

Remote Sensing Image Enhancement Based on Orthogonal Wavelet Transformation Analysis and Pseudo-color Processing

Zhiwen Wang, Shaozi Li, Yanping Lv, Kaitao Yang
Pages: 745 - 753
Wavelet analysis based on image enhancement technique is only applicable to black-and-white image, and pseudo-color image processing technology cannot adequately deal with some of the details information of the image. In this paper, an enhanced approach of remote sensing image based on orthogonal wavelet...

Clustering with Instance and Attribute Level Side Information

Jinlong Wang, Shunyao Wu, Gang Li
Pages: 770 - 785
Selecting a suitable proximity measure is one of the fundamental tasks in clustering. How to effectively utilize all available side information, including the instance level information in the form of pair-wise constraints, and the attribute level information in the form of attribute order preferences,...

Comprehensive Learning Particle Swarm Optimizer for Constrained Mixed-Variable Optimization Problems

Lei Gao, Atekelty Hailu
Pages: 832 - 842
This paper presents an improved particle swarm optimizer (PSO) for solving multimodal optimization problems with problem-specific constraints and mixed variables. The standard PSO is extended by employing a comprehensive learning strategy, different particle updating approaches, and a feasibility-based...

A New Fast Vertical Method for Mining Frequent Patterns

Zhihong Deng, Zhonghui Wang
Pages: 733 - 744
Vertical mining methods are very effective for mining frequent patterns and usually outperform horizontal mining methods. However, the vertical methods become ineffective since the intersection time starts to be costly when the cardinality of tidset (tid-list or diffset) is very large or there are a...

A scalable coevolutionary multi-objective particle swarm optimizer

Xiangwei Zheng, Hong Liu
Pages: 590 - 600
Multi-Objective Particle Swarm Optimizers (MOPSOs) are easily trapped in local optima, cost more function evaluations and suffer from the curse of dimensionality. A scalable cooperative coevolution and ?-dominance based MOPSO (CEPSO) is proposed to address these issues. In CEPSO, Multi-objective Optimization...

Extremal Optimization Combined with LM Gradient Search for MLP Network Learning

Peng Chen, Yu-Wang Chen, Yong-Zai Lu
Pages: 622 - 631
Gradient search based neural network training algorithm may suffer from local optimum, poor generalization and slow convergence. In this study, a novel Memetic Algorithm based hybrid method with the integration of “extremal optimization” and “Levenberg–Marquardt” is proposed to train multilayer perceptron...

An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Six Sigma Project Selection

Selçuk Perçin, Cengiz Kahraman
Pages: 610 - 621
Selecting an appropriate six sigma project is one of the most important problems for a manufacturing company because it impacts the manufacturing costs. Besides, an appropriate choice of Six Sigma projects is very important as it helps to improve quality, reduce variation, and eliminate waste of a manufacturing...

An Intelligent Inference System for Robot Hand Optimal Grasp Preshaping

Cabbar Veysel Baysal, Aydan M. Erkmen
Pages: 656 - 673
This paper presents a novel Intelligent Inference System (IIS) for the determination of an optimum preshape for multifingered robot hand grasping, given object under a manipulation task. The IIS is formed as hybrid agent architecture, by the synthesis of object properties, manipulation task characteristics,...

Robust Adaptive Tracking Control of the Underwater Robot with Input Nonlinearity Using Neural Networks

Mou Chen, Bin Jiang, Jie Zou, Xing Feng
Pages: 646 - 655
In this paper, robust adaptive tracking control is proposed for the underwater robot in the presence of parametric uncertainties and unknown external disturbances. Backstepping control of the system dynamics is introduced to develop full state feedback tracking control. Using parameter adaptation, backstepping...

Document Categorization with Modified Statistical Language Models for Agglutinative Languages

Ahmet Cüneyd Tantug
Pages: 632 - 645
In this paper, we investigate the document categorization task with statistical language models. Our study mainly focuses on categorization of documents in agglutinative languages. Due to the productive morphology of agglutinative languages, the number of word forms encountered in naturally occurring...

The Study on Multi-Attribute Decision-Making with Risk Based on Linguistic Variable

Peide Liu, Xin Zhang
Pages: 601 - 609
An approach based on relative optimal membership degree is proposed to deal with multiple attribute decisionmaking (MADM) problems under risk with weight information unknown and attribute value as linguistic variable. Firstly, the operational laws of linguistic variable are introduced, and risk linguistic...

Face Recognition Using Nonlinear Feature Parameter and Artificial Neural Network

N. K. Narayanan, V. Kabeer
Pages: 566 - 574
The paper reports a study of nonlinear nature of face image. A novel feature extraction method using state space feature parameter for the recognition of face images is studied. The results of simulation experiments performed on the standard AT & T face database using both Artificial Neural Network and...

An MAGDM Approach Combining Numerical Values with Uncertain Linguistic Information and Its Application in Evaluation of R&D Projects Xin-Bao Liu , Feng Pei , Jian-Bo Yang , Shan-Lin Yang

Xin-Bao Liu, Shan-Lin Yang, Feng Pei, Jiab-Bo Yang
Pages: 575 - 589
In multi-attribute group decision making (MAGDM) problems, decision attributes of alternatives are often considered as with quantitative and qualitative information. Therefore decision making problems may include preference information in different formats. In this paper, a multi-attribute group decision...

Brand Choice Modeling Modeling Toothpaste Brand Choice: An Empirical Comparison of Artificial Neural Networks and Multinomial Probit Model

Tolga Kaya, Emel Aktas, Ilker Topçu, Burç Ulengin
Pages: 674 - 687
The purpose of this study is to compare the performances of Artificial Neural Networks (ANN) and Multinomial Probit (MNP) approaches in modeling the choice decision within fast moving consumer goods sector. To do this, based on 2597 toothpaste purchases of a panel sample of 404 households, choice models...
Proceedings Article

Value Creation from CRM Systems: Resources and Processes

Shutao Dong
Building on the RBV and the processoriented view, we develop a conceptual model to study the value creation process of CRM systems. Analyzing a dataset of 82 Chinese firms, we find that the value of CRM resources stem from operational benefits (e.g. marketing cost reduction and efficiency gains in customer-oriented...
Proceedings Article

A Design Framework for Online Discus-sion Speech Act Analysis and Situation Profiling

Jia Li, Xuan Liu, Zhigao Chen, Pengzhu Zhang
In this research, we developed a design framework for systems supporting online discussion speech act analysis and situation profiling. The framework advocates the development of systems that support all three facets of online discussion situation profiling: snapshot, duration, and people. The framework...
Proceedings Article

A Partial Backorder Inventory System with Quoted Service Time

Yifan Dou, Yongbo Xiao, Jian Chen
In this paper, we introduce a critical time point method of partial backorder system with quoted service time in the traditional (,)Qr model: The retailer sets a critical time point. Excess demand coming before that point will be satisfied with emergency order while other ones will be backlogged until...
Proceedings Article

A Survey of the Internet of Things

De-Li Yang, Feng Liu, Yi-Duo Liang
This paper studies the state-of-art of Internet of Things (IoT). By enabling new forms of communication between people and things, and between things themselves, IoT would add a new dimension to the world of information and communication just as Internet once did. In this paper, IoT definitions from...
Proceedings Article

Well-Defined Processes and Their Effects on Business Process Outsourcing Vendor's Success: an Integrated Framework

Zhanhe Du, Xiuwu Liao
Offshore business process outsourcing (BPO) has been prevalent for two decades, but there are many failures. Although some literature analyzes the reason of failures from process viewpoint, there is still not a clear understanding about what are well-defined processes and their effects on BPO vendor¡¯s...
Proceedings Article

A Study on Dynamic Quality Manage-ment Model for E-Commerce

Jinling Chang, Chuncan Li
This paper constructed a dynamic and objective model of E-commerce website quality management. The key quality factors, quality characters and sub-characters from the user¡¯s perspective were discussed firstly, they formed the inherent causality relationship. Applying the Bayesian Network, the E-commerce...
Proceedings Article

Agent Based Modeling for Business Gam-ing Simulation and Application for Supply Chain Management Education

Motonari Tanabu
Yokohama Business Game (YBG) is a business game platform supporting a development, conduct and management of games. While YBG provides various types of business game and they are used in over 70 Japanese universities, there is a difficulty in keeping game balance or finding optimal strategy when developing...
Proceedings Article

The Effect of Learning Feedback Delay on the Growth of E-commerce Web Sites

Xiao-ji Wan, Gui-shi Deng, Yang Bai, Zhi-guo Zhu
The learning feedback delay reflecting renewal speed greatly affects the growth of e-commerce web sites. This paper firstly presents a nonlinear competition model ex-plaining the growth mechanism of commercial sites and studies the action principle of initial conformation condition, renewal speed, competitive...
Proceedings Article

Study on Quantum Particle Swarm Op-timization Algorithm to Win-win Situa-tion for the Physical Distribution Routing Problem

Wenxue Ran, Dongfeng Zhao, Zhilan Song, Yuan Zhou
This paper, based on the order with which the theory of random character combined, offers random distribution ordering assembly system model on the basis of multi-distribution route. In addition, this model¡¯s sorting capacity and its impact of time delay characteristic on sorting capacity of system...
Proceedings Article

Research on Organizational Knowledge Structure's Construction Based on Text Mining

Jiangnan Qiu, Chuangling Nian
Organizational knowledge structure is a reflection of organizational knowledge system. In this paper, we study organizational knowledge structure¡¯s construction based on patent documents using text mining method. Its construction process is as follows: Firstly, patent documents of organization are collected...
Proceedings Article

An Incremental Approach for Rule Induction under Coarsening and Refining of Attribute Values in E-Business Systems

Dun Liu, Tianrui Li, Junbo Zhang
The variation of attribute values is an important case in the dynamic EBusiness systems. With the rapid increase and update of data sets in business database everyday, a new incremental model, approach as well as its algorithm is presented for rule induction under coarsening and refining of attribute...
Proceedings Article

Production Logistics Research and Demonstration based on Network Planning technique and Theory of Constraints

Zhilan Song, Yueyi Liu
The Logistics of production is an important part of enterprises logistics. Whether it can be smooth is related closely to the economic benefit and business competitiveness. In order to better the efficiency, making processes of production rational and plan the layout of equipments are needed. Presently,...
Proceedings Article

Research on Distributed Knowledge Base System Architecture for Knowledge Sharing of Virtual Organization

Ruzhi Xu, Peiguang Lin, Cheng Liu
In this paper, an agent-based architecture is proposed to integrate distributed heterogeneous Knowledge Base. BBS is used as the public information exchange platform to implement an asynchronous uncoupling communication mechanism. A group of agents is deployed to every Knowledge Base node to complete...
Proceedings Article

Sentiment Classification for Consumer Word-of-Mouth in Chinese: Comparison between Supervised and Unsupervised Approaches

Ziqing Zhang, Qiang Ye, Wenying Zheng, Yijun Li
Sentiment classification aims at mining word-of-mouth, reviews of consumers, for a product or service by automatically classifying reviews as positive or negative. Few empirical studies have been conducted in comparing the different effects between machine learning and semantic orientation approaches...
Proceedings Article

Towards approximate equivalences of workflow processes

Yongzhi Cao, Guoqing Chen
Well-known notions of equivalence such as trace equivalence and bisimulation have been used to compare workflow processes; they describe the equivalence of processes whose activities are identical in each step. Possessing exactly the same activity in each step is quite rigorous, and sometimes we may...
Proceedings Article

BI as a service: an attempt to understand the leading adoption factors

Marco de Marco, Cecilia Rossignoli, Antonella Ferrari, Lapo Mola, Alessandro Zardini
The research question of this study attempts to identify which are the leading factors for the adoption of a sourcing Software as a Service model for Business Intelligence applications. The objective is to build a model containing enabling factors for the adoption of BI solutions. We seek to expand on...
Proceedings Article

Conceding Strategy on Multi-agent Argumentation-based Negotiation in E-commerce

Ge Zhang, Lin Wu, Guo-Rui Jiang, Ti-Yun Huang
Argumentation-based approach to negotiation, which allows agents to exchange additional information or argue their beliefs and other mental attitudes during the negotiation, is gaining increasing popularity for its potential ability to overcome the limitations of conventional approaches. In this paper,...
Proceedings Article

Study on Cooperation Mechanism of Closed-loop Supply Chain Based on Rev-enue Distribution with Modified Shapley-value

Weimin Ma, Xiaoxi Zhu
A closed-loop supply chain of revenue distribution model consists of a manufacturer, a Third-Part Logistics and a retailer is founded, revenue of each cooperative coalition in different cooperative ways is given based on cooperative game theory. Results indicate that cooperation will bring each cooperative...
Proceedings Article

Exploring User's Classification Model for UGC and Its Influence Factors on Contribution in Social Media

Yuxiang Zhao, Kewen Wu, Qinghua Zhu, Fei Meng
This paper aims at exploring the user¡¯s contribution in different social media sites, and further examining what factors will influence user¡¯s motivation to participate in UGC. After a brief literature review, the authors collect data from 8 social media sites and analyze the quantitative relationship...
Proceedings Article

Multi-resolution Keyword Mining Algorithm based on Frequent Pattern Technique

Xiaodong Ji
Finding out keywords from massive text document is a hard problem because an amount of synonyms are frequently used in a text. This paper proposes a keyword mining algorithm based on analyzing the ¡°frequent patterns¡± of the words in a text. We use a new method referring the cluster process to determine...
Proceedings Article

Healthcare and the Coming Informatics Revolution

J. C. Westland
Healthcare is the largest industry in the world, and set to grow even larger as the world's population ages. Presently, the US leads the world in medical technology; it also spends twice as much per capita on healthcare as other developed nations, the result of inefficiencies in the system and the increasing...
Proceedings Article

A Study on the Trend of Web2.0 Research

Tao Zhang, Kun Zhao, Zhangxiang Zhu
This paper uses CNKI as search source, and uses ¡®Web2.0¡¯ as the key word to search the research papers related to Web2.0 during the period of 2005?2009 in China. By using Bibliometric methods, this paper analyzes the overall situation, existing problem, solution strategies and trends of the domestic...