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International Conference on Engineering and Business Management (EBM 2010 PAPERBACK)

Chengdu,China,China,3.24-3.26,2010

ISBN: 978-1-935068-05-1 Scientific Research Publishing, USA

Paperback 6066pp Pub. Date: March 2010

Category: Engineering

Price: $280

Title: Calculation of Optimal Fuzzy Equivalent Matrix Using Multi-Objective Evolutionary Algorithms
Source: International Conference on Engineering and Business Management (EBM 2010 PAPERBACK) (pp 5173-5176)
Author(s): Huan Zhang, Department of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China
Hong-wei Zhang, Department of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China
Shao-jie Qiao, Department of Computer Science, Chengdu University of Information Technology, Chengdu 610225, China
Abstract: Abstract: In terms of the fuzzy clustering methods, the calculation of optimal fuzzy equivalent matrix is a NP problem for single-object evolutions. Particularly, as for multi-objective evolution, it is difficult to handle. However, existing algorithms focus on finding a satisfactory solution, which lacks flexibility. Moreover, these methods are not comprehensive and reasonable to provide decision-making in real-world applications. This paper uses the multi-objective evolutionary methods and Genetic Algorithms to find the Pareto front of optimal fuzzy equivalent matrix, which can help find a series of satisfactory solution. The proposed method is particularly suitable to find the higher-order matrix. In addition, these solutions have stronger adaptability for a variety of situations and can provide effective supports for scientific and rational decisions. Extensive experiments show that the multi-objective evolutionary based method is superior to the traditional algorithms in genetic algorithms.
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