Multi-Attribute Decision-Making based on Rough Set Theory and Modified PBMF-Index Function

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.

关键词： Fuzzy C-Means Fuzzy Set theory Rough Set Theory MADM index function

作者: Ting-Cheng Chang Chuen-Jiuan Jane Kuang Yu Huang

作者单位: dept. of information Management Ling Tung University, Taichung City, Taiwan dept. of Financial and Risk Management Ling Tung University, Taichung City, Taiwan

会议类型: 国际会议

会议名称: The 13th IEEE Joint International Computer Science and Information Technology Conference(2011年第13届IEEE联合国际计算机科学与信息技术会议 JICSIT 2011)

会议地点: 重庆

会议语种:英文

页码: 1380-1383

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）