International Journal of Computational Intelligence Systems

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1039 articles

Reliability Growth Predication based on an Improved Grey Predicton Model

Yuhong Wang, Yaoguo Dang, Sifeng Liu
Pages: 266 - 273
As limits of time, labors and expenses, observed data usually have the characteristic of small sample sizes in development test program. Redesigns or corrective actions can result in changes of reliability for equipments. We propose an improved GM(1,1) model to predict reliability growth in this paper....

Improving the Reliability of Case-Based Reasoning Systems

Xu Xu, Weimin Ma, Ke Wang, Jie Lin
Pages: 256 - 265
Case-based reasoning (CBR) infers a solution to a new problem by searching a collection of previously solved problems for cases which are similar to the new problem. The collection of previous problems and their associated solutions represents the CBR system’s realm of expertise. A CBR system helps...

A Lexicographic Method for Matrix Games with Payoffs of Triangular Intuitionistic Fuzzy Numbers

Jiang-Xia Nan, Deng-Feng Li, Mao-Jun Zhang
Pages: 280 - 289
The intuitionistic fuzzy set (IF-set) has not been applied to matrix game problems yet since it was introduced by K.T.Atanassov. The aim of this paper is to develop a methodology for solving matrix games with payoffs of triangular intuitionistic fuzzy numbers (TIFNs). Firstly the concept of TIFNs and...

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...

A Framework for Function Allocation in Intelligent Driver Interface Design for Comfort and Safety

Wuhong Wang, Fuguo Huo, Huachun Tan, Heiner Bubb
Pages: 531 - 541
This paper presents a conceptual framework for ecological function allocation and optimization matching solution for a human-machine interface with intelligent characteristics by “who does what and when and how” consideration. As a highlighted example in nature-social system, intelligent transportation...

Power Distribution System Planning Evaluation by a Fuzzy Multi-Criteria Group Decision Support System

Tiefeng Zhang, Guangquan Zhang, Jun Ma, Jie Lu
Pages: 474 - 485
The evaluation of solutions is an important phase in power distribution system planning (PDSP) which allows issues such as quality of supply, cost, social service and environmental implications to be considered and usually involves the judgments of a group of experts. The planning problem is thus suitable...

A Review on Information Accessing Systems Based on Fuzzy Linguistic Modelling

E. Herrera-Viedma, A.G. Lopez-Herrera
Pages: 420 - 437
This paper presents a survey of some fuzzy linguistic information access systems. The review shows information retrieval systems, filtering systems, recommender systems, and web quality evaluation tools, which are based on tools of fuzzy linguistic modelling. The fuzzy linguistic modelling allows us...

An Integrated Methodology using Linguistic PROMETHEE and Maximum Deviation Method for Third-party Logistics Supplier Selection

Chen-Tung Chen, Ping-Feng Pai, Wei-Zhang Hung
Pages: 438 - 451
The purpose of this paper is to present a framework and a suitable method for selecting the best logistics supplier. In general, many quantitative and qualitative criteria should be considered simultaneously for making the decision of logistics supplier selection. The information about judging the performance...

Characterization of Fashion Themes Using Fuzzy Techniques for Designing New Human Centered Products

Y. Zhu, D. Ruan, X. Zeng, L.N. Koehl, C. Chaigneau
Pages: 452 - 460
Fabric selection plays an important role in fashion garment design. Designers often use both physical and normalized linguistic criteria for fabric selection. Perception and preference of consumers in their specific sociocultural context, expressed by fashion themes or emotional linguistic criteria,...

Multiattribute Supplier Selection Using Fuzzy Analytic Hierarchy Process

Serhat Aydin, Cengiz Kahraman
Pages: 553 - 565
Supplier selection is a multiattribute decision making (MADM) problem which contains both qualitative and quantitative factors. Supplier selection has vital importance for most companies. The aim of this paper is to provide an AHP based analytical tool for decision support enabling an effective multicriteria...

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...

Behavior-aware Trustworthiness Study of Networked Software Xianwen Fang

Xianwen Fang, Changjun Jiang, Xiaoqin Fan
Pages: 542 - 552
The essence characteristics of software trustworthiness are software execution effect and behavior can be anticipated, which is an important index of software quality. Under the open and dynamic environments, some uncertainty factors cause the behavior of software to be uncontrolled, uncertainty and...

An Extended Hierarchical Linguistic Model for Managing Integral Evaluation

Rocio de Andres, Macarena Espinilla, Luis Martinez
Pages: 486 - 500
Performance appraisal is a process used by companies in order to evaluate their employees' efficiency and productivity for planning their Human Resource policies. Traditionally this process has just been carried out by the executive staff but recently it has started to be based on opinions of different...

A new GA based solution for capacitated multi source Weber problem Nazila Mohammadi

Nazila Mohammadi, Mohammad Reza Malek, Ali Asghar Alesheikh
Pages: 514 - 521
The main purpose of any facility location is to select the optimal places that satisfy project's goals. In location problems, the object is usually to optimize a function - objective function - that defines the problem conditions and efficient decision parameters. Numerous methods are proposed to challenge...

A Social Choice Analysis of the Borda Rule in a General Linguistic Framework

José Luis Garcia-Lapresta, Bonifacio Llamazares, Miguel Martinez-Panero
Pages: 501 - 513
In this paper the Borda rule is extended by allowing the voters to show their preferences among alternatives through linguistic labels. To this aim, we need to add them up for assigning a qualification to each alternative and then to compare such qualifications. Theoretically, all these assessments and...

Computing with Words in Risk Assessment

Jun Liu, Luis Martinez, Hui Wang, Rosa M. Rodriguez, Vasily Novozhilov
Pages: 396 - 419
This paper presents a comprehensive overview of currently known applications of computing with words (CWW) in risk assessment. It is largely grouped into the following 5 categories: (1) fuzzy number based risk assessment; (2) fuzzy rule-based risk assessment; (3) fuzzy extension of typical probabilistic...

A Ranking Method of Triangular Intuitionistic Fuzzy Numbers and Application to Decision Making

Deng Feng Li, Juang Xia Nan, Mao Jun Zhang
Pages: 522 - 541
Ranking of triangular intuitionistic fuzzy numbers (TIFNs) is an important problem, which is solved by the value and ambiguity based ranking method developed in this paper. Firstly, the concept of TIFNs is introduced. Arithmetic operations and cut sets over TIFNs are investigated. Then, the values and...

Renewable Energy System Selection Based On Computing With Words

Cengiz Kahraman, Ihsan Kaya, Selçuk Cebi
Pages: 461 - 473
Renewable energy is the energy generated from natural resources such as sunlight, wind, rain, tides and geothermal heat. Turkey has a great renewable energy potential with its natural resources such as biomass, geothermal, hydropower, solar, and wind. Selection among energy alternatives is a multicriteria...

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...

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, Feng Pei, Jiab-Bo Yang, Shan-Lin 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...

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...

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...

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...

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...

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,...

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...

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

Yu-Wang Chen, Peng 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...

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...

Uncertainty and Preference Modelling for Multiple Criteria Vehicle Evaluation

Dong-Ling Xu, Anil Kumar Maddulapalli, Qiuping Yang, Xinlian Xie, Jian-Bo Yang
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...

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...

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...

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...

Tunnel Surrounding Rock Displacement Prediction Using Support Vector Machine

Bao-Zhen Yao, Cheng-Yong Yang, Jin-Bao Yao, Jian Sun
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....

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...

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...

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...

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...

Developing a Mobile Service-Based Customer Relationship Management System Using Fuzzy Logic

Xiaobei Liang, Jianghua Zhang, Binyong Tang
Pages: 805 - 814
Customer relationship management (CRM) has gained lately widespread popularity in many industries. With the development of economy and society, customers are unsatisfied with the stereotyped products. As customers usually describe their demands in nature language, the demands are often conflicting with...

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...

LPBoost with Strong Classifiers

Yu K. Fang, Yan Fu, Chong J. Sun, Jun L. Zhou
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....

An improved Particle Swarm Optimization Algorithm for QoS-aware Web Service Selection in Service Oriented Communication

Wenbin Wang, Qibo Sun, Xinchao Zhao, Fangchun Yang
Pages: 18 - 30
QoS-aware Web Service Selection is a crucially important issue in Service Oriented Communication which enables communication by integrating communication web services over Internet. Because of the growing number of candidate web services that provide the same functionality but differ in Quality of Service...

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 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...

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...