Volume 5 Number 1 (Jan. 2010)
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JSW 2010 Vol.5(1): 3-10 ISSN: 1796-217X
doi: 10.4304/jsw.5.1.3-10

New Algorithm for Indefinite Multi-objective Decision Making Based on Multiple-valued Intuitive Fuzzy Set Theory

Zhou Qihai, Li Yan
Information Technology Application Research Institute, Southwestern University Of Finance and Economics, Chengdu, Sichuan, China; School of Economic Information Engineering, Southwestern University Of Finance and Economics, Chengdu, Sichuan, China

Abstract—There are three major difficulties in the indefinite multi-objective decision making process: 1) how to express the indefinite information because of the information about attributes being indefinite; 2) how to express the indefinite information because of the information has multi-channels; 3) how to fuse the information into synthetic information. The multiple-valued intuitive fuzzy sets is one new mathematical model, this model can process well fuzzy information gained from multi-sources. In this paper, firstly conduct the research to the multiple-valued intuitive fuzzy set's information fusion and construct some methods to fuse the information included in the degree of membership or non-degree of membership of multiple-valued intuitive fuzzy set , then use the isomorphism mind to research indefinite isomerism multi-objective decision making and construct one new algorithm for interval value and indefinite language isomerism multi-objective decision making based on isomorphism information fusion.

Index Terms—Isomorphism, Multi-objective Decision, Multiple-valued intuitive fuzzy sets, Indefinite multiobjective decision-making.

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Cite: Zhou Qihai, Li Yan, "New Algorithm for Indefinite Multi-objective Decision Making Based on Multiple-valued Intuitive Fuzzy Set Theory," Journal of Software vol. 5, no. 1, pp. 3-10, 2010.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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