DocumentCode :
501214
Title :
New Algorithm for Indefinite Multi-objective Decision Making
Author :
Qihai, Zhou ; Yan, Li ; Xun, Lin ; Zaixing, Han ; Zuoma, Pubu ; Xiezhi, Sun
Author_Institution :
Inf. Technol. Applic. Res. Inst., Southwestern Univ. of Finance & Econ. (SWUFE), Chengdu, China
Volume :
2
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
340
Lastpage :
343
Abstract :
There are two major difficulties in the indefinite multi-objective decision making process: As the information about attributes is indefinite, how to express the indefinite information; as the information has multi-channels, 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 article, 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.
Keywords :
decision making; fuzzy set theory; sensor fusion; fuzzy information; indefinite information; indefinite isomerism multiobjective decision making; indefinite language isomerism; indefinite multiobjective decision making; interval value; isomorphism information fusion; mathematical model; multiple valued intuitive fuzzy set; synthetic information; Decision making; Finance; Fuses; Fuzzy sets; Information technology; Instruction sets; Mathematical model; Sun; Iisomorphism; Indefinite multi-objective decision-making; Multiple-valued intuitive fuzzy sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
Type :
conf
DOI :
10.1109/IFITA.2009.9
Filename :
5231328
Link To Document :
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