DocumentCode
1750591
Title
Optimization approaches to possibilistic linear programming problems
Author
Inuiguchi, Masahiro ; Tanino, Tetsuzo ; Tanaka, Hideo
Author_Institution
Dept. of Electron. & Inf. Syst., Osaka City Univ., Japan
fYear
2001
fDate
25-28 July 2001
Firstpage
2724
Abstract
We describe optimization approaches to possibilistic linear programming problems. Especially, achievement rate approaches are developed. Solution algorithms under a given fuzzy goal and under an unknown goal are designed based on the relaxation procedure
Keywords
fuzzy set theory; linear programming; possibility theory; achievement rate; fuzzy goal; fuzzy set theory; optimization; possibilistic linear programming; relaxation procedure; unknown goal; Algorithm design and analysis; Educational institutions; Functional programming; Fuzzy sets; Information systems; Linear programming; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-7078-3
Type
conf
DOI
10.1109/NAFIPS.2001.943655
Filename
943655
Link To Document