An aggregation model via fuzzy linear programming to rank the objects with multiple attributes

Author

Guo, Peijun ; Tanaka, Hideo ; Inuiguchi, Masahiro

Author_Institution

Dept. of Ind. Eng., Osaka Prefecture Univ., Japan

Volume

2

fYear

1999

fDate

22-25 Aug. 1999

Firstpage

1175

Abstract

Fuzzy aggregation models via fuzzy data envelopment analysis (FDEA) are proposed for ranking entities with multiple attributes and multiple evaluators. Because the weight factors of attributes of entities evaluated in aggregation models are sought by fuzzy data envelopment analysis (FDEA) not predetermined by decision-makers, the proposed aggregation models can be regarded as fair-competition ones so that the inherent preference of evaluators can be objectively reflected.

Keywords

aggregation; data envelopment analysis; decision theory; fuzzy set theory; linear programming; possibility theory; aggregation model; fair-competition models; fuzzy data envelopment analysis; fuzzy linear programming; inherent preference; multiple attributes; multiple evaluators; ranking; Data engineering; Data envelopment analysis; Decision making; Fuzzy systems; Industrial electronics; Industrial engineering; Information analysis; Information systems; Linear programming; Open wireless architecture;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International

Conference_Location

Seoul, South Korea

ISSN

1098-7584

Print_ISBN

0-7803-5406-0

Type

conf

DOI

10.1109/FUZZY.1999.793122

Filename

793122