DocumentCode
527331
Title
The integration information entropy method for the hybrid multi-attribute decision-making
Author
Zhu, Xiao-xia ; Wang, Qun
Author_Institution
Coll. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume
4
fYear
2010
fDate
11-14 July 2010
Firstpage
1787
Lastpage
1792
Abstract
This paper discusses a hybrid multi-attribute decision making problems (HMADMP) in which attribute weights are unknown and attribute values are given in the forms of real number, interval number, fuzzy number and semantics. Through the process of the attribute values transformation and clarity, proposed the method with the integration information entropy to calculate the comprehensive weights, and established a hybrid multi-attribute decision model based on comprehensive information entropy. Finally, Application examples demonstrate its feasibility and effectiveness.
Keywords
decision making; decision theory; entropy; fuzzy set theory; attribute value transformation; fuzzy number; hybrid multiattribute decision-making; integration information entropy method; Compounds; Cybernetics; Decision making; Indexes; Information entropy; Machine learning; Semantics; Fuzzy number; Interval number; Multi-attribute decision-making; Synthetic information entropy;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580965
Filename
5580965
Link To Document