DocumentCode :
498999
Title :
Study on fuzzy multiple-attribute decision making approach base on synthesizing information entropy
Author :
Zhu, Xiao-xia ; Wang, Rui-jiang ; Li, Fa-chao
Author_Institution :
Coll. of Sci., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume :
2
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
822
Lastpage :
827
Abstract :
This paper focuses on fuzzy multiple-attribute decision with weights unknown and fuzzy information. Starting from the structural feature of fuzzy information, we propose the compound quantification description mode based on centralized quantification value, and establish a fuzzy information comparison method based on synthesizing effect. Through real case, all the results indicate that the fuzzy multiple-attribute decision making approach proposed can effectively merge decision preference into decision process and has better operability.
Keywords :
decision making; entropy; fuzzy set theory; operations research; centralized quantification value; compound quantification description mode; fuzzy information comparison method; fuzzy multiple-attribute decision making approach; information entropy synthesis; Conference management; Cybernetics; Decision making; Educational institutions; Fuzzy sets; Information entropy; Machine learning; Quality management; Quantization; Technology management; Composite quantization; Fuzzy number; Multiple-attribute decision making; Synthesizing information entropy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212434
Filename :
5212434
Link To Document :
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