International Journal of Computational Intelligence Systems

Volume 7, Issue 4, August 2014

1. Fault Section Estimation for Power Systems Based on Adaptive Fuzzy Petri Nets

Z.Y. He, J.W. Yang, Q.F. Zeng, T.L. Zang
Pages: 605 - 614
Due to the advantages of Fuzzy reasoning Petri-nets(FPN)on uncertain and incomplete information processing. It is a promising technique to solve the complex power system fault-section estimation problem. Therefore, we propose a novel estimation method based on Adaptive Fuzzy Petri Nets (AFPN), in this...

2. A Hybrid MCDM for Private Primary School Assessment Using DEMATEL Based on ANP and Fuzzy Cognitive Map

Adil Baykasoglu, Zeynep D. U. Durmusoglu
Pages: 615 - 635
Primary school selection is actually a decision making problem that should be supported with several source of information. Parents usually handle this problem in an unstructured manner which is indeed a fuzzy mental ranking of schools with respect to the effectiveness. In this study, an analytical hybrid...

3. Data Envelopment Analysis Application in Turkish Energy Market

Özlem Coşgun, Gamze Ogcu Kaya
Pages: 636 - 649
In this study, we consider data envelopment analysis for comparison between thermal energy plants which are natural gas based and coal based power plants. Results of this study will give a roadmap to decision makers in selecting type of thermal plant they will construct. Also public and private energy...

4. An Approach to Enhance the Quality of Recommendation Using Collaborative Tagging

Latha Banda, K.K. Bharadwaj
Pages: 650 - 659
Collaborative labeling portrays the process by which numerous users put in metadata in the form of keywords to shared data. Nowadays, collaborative labeling has grown in reputation on the web, on sites that permit users to label bookmarks, photographs and other details. It has been recently become useful...

5. A Dynamic Composite Web Services Selection Method With QoS-Aware Based on AND/OR Graph

Hong Yu, Qingfeng Zhou, Man Liu
Pages: 660 - 675
Service selection problem refers to the selection of appropriate Web services from a large number of candidates in order to create complex composite services that can satisfy users’ quality-of-service (QoS) requirements. However, the existing services selection methods seldom consider the parallel...

6. Hierarchical Storage Model and Priority Ranking Method of Rules in Rule-based Reasoning System

Yushu Lai, Yan Xiong
Pages: 676 - 685
It is very difficult to create the fault trees based on components framework for some complex equipment. So a multi-hierarchy diagnosis method based on fault categories is proposed in this paper. The according storage model of rules is designed, and the concept of rule priority is introduced. Then, a...

7. Construction of fuzzy edge image using Interval Type II fuzzy set

Tamalika Chaira, A. K. Ray
Pages: 686 - 695
In this paper, a novel method to generate fuzzy edges in medical images using the Type II fuzzy set theory is presented. Medical images are normally poorly illuminated and many edges are not visible properly, so construction of fuzzy edge image is a difficult task. Fuzzy edges are not the binary edges...

8. A Synthesizing Effect-Based Solution Method for Stochastic Rough Multi-objective Programming Problems

Lei Zhou, Guoshan Zhang, Fachao Li
Pages: 696 - 705
Multi-objective programming with uncertain information has been widely applied in modeling of industrial produce and logistic distribution problems. Usually the expectation value model and chance-constrained model as solution models are used to deal with such uncertain programming. In this paper, we...

9. An improved comprehensive evaluation model and its application

Wenyi Zeng, Shuang Feng
Pages: 706 - 714
Since comprehensive evaluation model was introduced by Wang in 1984, the comprehensive evaluation model has many successful applications in real life. But some examples show the inefficiency of the comprehensive evaluation model. In order to process these problems, in this paper, we introduce two concepts...

10. Software Fault Estimation Framework based on aiNet

Qian Yin, Ruiyi Luo, Ping Guo
Pages: 715 - 723
Software fault prediction techniques are helpful in developing dependable software. In this paper, we proposed a novel framework that integrates testing and prediction process for unit testing prediction. Because high fault prone metrical data are much scattered and multi-centers can represent the whole...

11. Analysis and Application of A One-Layer Neural Network for Solving Horizontal Linear Complementarity Problems

Xingbao Gao, Jing Wang
Pages: 724 - 732
In this paper, we analyze the stability and convergence of a one-layer neural network proposed by Gao and Wang, which is designed to solve a class of horizontal linear complementarity problems. The globally asymptotical stability and globally exponential stability of this network are proved strictly...

12. Hybrid Multiobjective Differential Evolution Incorporating Preference Based Local Search

Ning Dong, Yuping Wang
Pages: 733 - 747
The performance of Differential Evolution (DE) for multiobjective optimization problems (MOPs) can be greatly enhanced by hybridizing with other techniques. In this paper, a new hybrid DE incorporating preference based local search is proposed. In every generation, a set of nondominated solutions is...

13. Outlier Detection Based on Local Kernel Regression for Instance Selection

Qinmu Peng, Yiu-ming Cheung
Pages: 748 - 757
In this paper, we propose an outlier detection approach based on local kernel regression for instance selection. It evaluates the reconstruction error of instances by their neighbors to identify the outliers. Experiments are performed on the synthetic and real data sets to show the efficacy of the proposed...

14. Multi-attribute group decision making methods with proportional 2-tuple linguistic assessments and weights

Cong-Cong Li, Yucheng Dong
Pages: 758 - 770
The proportional 2-tuple linguistic model provides a tool to deal with linguistic term sets that are not uniformly and symmetrically distributed. This study further develops multi-attribute group decision making methods with linguistic assessments and linguistic weights, based on the proportional 2-tuple...

15. Extended 2-tuple linguistic hybrid aggregation operators and their application to multi-attribute group decision making

Fanyong Meng, Jie Tang
Pages: 771 - 784
The aim of this paper is to develop some new 2-tuple linguistic hybrid aggregation operators, which are called the extended 2-tuple linguistic hybrid arithmetical weighted (ET-LHAW) operator, the extended 2-tuple linguistic hybrid geometric mean (ET-LHGM) operator, the induced ET-LHAW (IET-LHAW) operator...

16. ACO-BTM: A Behavior Trust Model in Cloud Computing Environment

Guoyuan Lin, Yuyu Bie, Min Lei, Kangfeng Zheng
Pages: 785 - 795
Considering trust issues in cloud computing, we analyze the feasibility of adopting ant colony optimization algorithm to simulate trust relationships between entities in the cloud and then propose a novel behavior trust model: ACO-BTM. Trust relationships between entities in cloud computing are dynamic,...

17. Evaluation on Functions of Urban Waterfront Redevelopment Based on Proportional 2-Tuple Linguistic

Ting Da, Yejun Xu
Pages: 796 - 808
As a planning strategy, “connectivity” has been used to promote the functions of Urban Waterfront space to revitalize the city. By analyzing the hierarchy of functions of Urban Waterfront, namely ecological function, social function and context function, an index system of assessing its functions...