A new information fusion method based on interval-valued fuzzy numbers for handling multi-criteria fuzzy 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

2

fYear

2004

fDate

25-29 July 2004

Firstpage

825

Abstract

We present a new information fusion method for fusing decision-maker´s linguistic opinions to deal with multi-criteria fuzzy decision-making problems. The proposed information fusion algorithm uses interval-valued fuzzy numbers to represent the decision-makers´ linguistic opinions. It uses linguistic quantifiers based on the FN-IOWA operator to flexibly determine the weights of linguistic opinions of each decision-maker for aggregating these linguistic opinions in different linguistic constraints. The proposed method can handle multi-criteria fuzzy decision-making problems in a more intelligent and more flexible manner.

Keywords

computational linguistics; constraint handling; decision making; fuzzy set theory; information theory; mathematical operators; operations research; decision makers linguistic opinions; fuzzy number operators; induced ordered weighted averaging operator; information fusion method; interval valued fuzzy numbers; linguistic constraints; linguistic quantifiers; multicriteria fuzzy decision making problems; Aggregates; Computer science; Decision making; Fuzzy sets; Open wireless architecture;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on

ISSN

1098-7584

Print_ISBN

0-7803-8353-2

Type

conf

DOI

10.1109/FUZZY.2004.1375509

Filename

1375509