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