DocumentCode :
1805454
Title :
Multi-attribute decision-making based on rough set theory and modified PBMF-index function
Author :
Ting-Cheng Chang ; Huang, Kuang Yu ; Jane, Chuen-Jiuan
Author_Institution :
Dept. of information Management, Ling Tung University, Taichung City, Taiwan
fYear :
2013
fDate :
1-8 Jan. 2013
Firstpage :
1
Lastpage :
4
Abstract :
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.
Keywords :
Accuracy; Approximation methods; Decision making; Indexes; Vectors; Fuzzy C-Means; Fuzzy Set theory; MADM index function; Rough Set Theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Conference Anthology, IEEE
Conference_Location :
China
Type :
conf
DOI :
10.1109/ANTHOLOGY.2013.6784966
Filename :
6784966
Link To Document :
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