Variable weights decision-making and its fuzzy inference implementation

Bo Liu*, Xuejun Zhang, Shangran Xie, Hannan Ma

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper investigates multiple attribute decision-making (MADM) problems with preference information on alternatives. Principle of variable weights evaluation is introduced first. Then, a new algorithm, fuzzy inference variable weights method, is proposed. The principle of fuzzy logic control (FLC) and available techniques of variable weights evaluation are merged together, to formulate the new method to determine the adjusted weights of attributes for MADM problems with preferences. An example is provided to illustrate the utility and effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
Pages635-640
Number of pages6
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007 - Haikou, China
Duration: 24 Aug 200727 Aug 2007

Publication series

NameProceedings - Fourth International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
Volume2

Conference

Conference4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2007
Country/TerritoryChina
CityHaikou
Period24/08/0727/08/07

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