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 :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=1750591
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