An improved fuzzy Comprehensive evaluation using expanded optimization algorithm for combining index weights

	An improved fuzzy Comprehensive evaluation using expanded optimization algorithm for combining index weights
	Chen, Wei; Hao, Xiao-Hong; Lin, Jie
	2008
关键词	tracking fuzzy Comprehensive evaluation reliability code expanded optimization algorithm
页码	490-494
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 optimization algorithm is presented for combining index weights, (hen bring out a improved fuzz), 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.
会议录	PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Computer Science ; Engineering ; Robotics
WOS记录号	WOS:000259604900087
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/38015]
专题	电气工程与信息工程学院
通讯作者	Chen, Wei
作者单位	Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Chen, Wei,Hao, Xiao-Hong,Lin, Jie. An improved fuzzy Comprehensive evaluation using expanded optimization algorithm for combining index weights[C]. 见:.