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