A Novel Hybrid clustering Method for Multi-attribute Decision-Making Datasets

被引：0
|
作者：
Liu, Kai-Ping [1 ,4 ]
Chen, Wen-Chin [2 ]
Chang, Ting-Cheng [3 ]
机构：
[1] Chung Hua Univ, Grad Inst Management Technol, Hsinchu, Chinese Taipei, Taiwan
[2] Chung Hua Univ, Dept Ind Management, Hsinchu, Chinese Taipei, Taiwan
[3] Ling Tung Univ, Dept Technol Prod Design, Taichung, Taiwan
[4] Ling Tung Univ, Dept Tourism & Leisure Management, Taichung, Taiwan
来源：
ADVANCED COMPOSITE MATERIALS, PTS 1-3 | 2012年 / 482-484卷
关键词：
Fuzzy C-Means; Fuzzy Set theory; Rough Set Theory; MADM index function; VALIDITY INDEX; FUZZY;
D O I：
10.4028/www.scientific.net/AMR.482-484.103
中图分类号：
TB33 [复合材料];
学科分类号：
摘要：
A function is proposed for descritizing and classifying the uncertain data of multi-attribute decision-making (MADM) datasets using a hybrid scheme incorporating fuzzy set theory, Rough Set (RS) theory and a modified form of the PBMF index function. The proposed MADM index function is used to extend the applicability of the single-attribute decision-making (SADM) function. The validity of the proposed MADM index function is evaluated by comparing the descritizing results obtained for a simple hypothetical function with those obtained using a SADM function and the conventional PBMF function.
引用
收藏
页码：103 / +
页数：3
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