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
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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:. |
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