A new information fusion algorithm for handling heterogeneous group decision-making problems

Author

Chen, Shi-Jay ; Chen, Shyi-Ming

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

390

Lastpage

395

Abstract

We present an information fusion algorithm based on the similarity measure, the FN-IOWA operator, and the linguistic quantifiers for aggregating fuzzy opinions in a heterogeneous group decision-making environment. The proposed information fusion algorithm can handle the heterogeneous fuzzy group decision-making problems in a more flexible and more intelligent manner due to the fact that it not only uses generalized fuzzy numbers to represent fuzzy opinions and the degrees of confidence of the fuzzy opinions of the decision-makers, but also uses linguistic quantifiers to aggregate the decision-makers´ fuzzy opinions for different linguistic constraints

Keywords

decision theory; fuzzy set theory; FN-IOWA operator; degrees of confidence; fuzzy opinions; heterogeneous group decision-making problems; information fusion algorithm; linguistic constraints; linguistic quantifiers; similarity measure; trapezoidal fuzzy numbers; Aggregates; Arithmetic; Computer science; Decision making; Fuses; Gravity; Image segmentation; Magnetic resonance imaging; Multiagent systems; Open wireless architecture;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7280-8

Type

conf

DOI

10.1109/FUZZ.2002.1005022

Filename

1005022