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

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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.