An improved fuzzy comprehensive evaluation method using expanded least deviations algorithm

doi:10.1109/ICCIS.2008.4670893

	An improved fuzzy comprehensive evaluation method using expanded least deviations algorithm
	Chen, Wei; Hao, Xiaohong; Lin, Jie
	2008
会议日期	September 21, 2008 - September 24, 2008
会议地点	Chengdu, China
关键词	Intelligent systems Maximum principle Degree of membership Fuzzy comprehensive evaluation Fuzzy comprehensive evaluation method Index weight Matrix of fuzzy relations Maximum degree Sequential segmentation Weight vector
DOI	10.1109/ICCIS.2008.4670893
页码	1087-1091
英文摘要	Fuzzy Comprehensive evaluation is usually influenced significantly by the matrix of fuzzy relation and weight vector. For a sequential segmentation category, the principle of the lowest cost, the principle of maximum degree of measure and the principle of maximum degree of membership sometimes can get unreasonable conclusion, because they conceal the difference of two degree of membership. First of all, a new expanded least deviations algorithm is presented for combining index weights, then bring out a improved fuzzy Comprehensive evaluation method based on reliability code. The proposed method can overcome the shortages of the traditional fuzzy Comprehensive evaluation. Case results clearly show that the proposed method is attractive and effective. © 2008 IEEE.
会议录	2008 IEEE International Conference on Cybernetics and Intelligent Systems, CIS 2008
会议录出版者	IEEE Computer Society
语种	英语
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116870]
专题	电气工程与信息工程学院
作者单位	College of Electrical and Information Engineering, Lanzhou University of Technology, LZUT, Lanzhou, China
推荐引用方式 GB/T 7714	Chen, Wei,Hao, Xiaohong,Lin, Jie. An improved fuzzy comprehensive evaluation method using expanded least deviations algorithm[C]. 见:. Chengdu, China. September 21, 2008 - September 24, 2008.