DocumentCode :
545635
Title :
Proposed method for optimizing fuzzy linear programming problems by using Two-phase technique
Author :
Towfik, Zaki S. ; Jawad, Sabiha Fathil
Author_Institution :
Dept. of Comput. Sci., Univ. of AI-Mustansiriyah, Iraq
fYear :
2010
fDate :
Nov. 30 2010-Dec. 2 2010
Firstpage :
89
Lastpage :
96
Abstract :
Fuzzy linear programming (FLP) is an application of fuzzy set theory in linear decision making problems and most of these problems are related to linear programming contains fuzzy constrains or crisp objectives function or contains crisp constrains with fuzzy objectives function, which called fuzzy linear programming (FLP) with triplet fuzzy numbers consist a hybrid fuzzy. The crisp constrains used in the problems of types (= or ≥) with a proposed optimization fuzzy objectives and fuzzy constrains. In this paper proposed method for solving fuzzy linear programming problem by using Two-phase technique to solve the problem and to determine the optima crisp objectives.
Keywords :
fuzzy set theory; linear programming; number theory; crisp constrains; crisp objectives function; fuzzy constrains; fuzzy linear programming problems; fuzzy objectives function; fuzzy set theory; linear decision making problems; triplet fuzzy numbers; two-phase technique; Decision making; Linear programming; Mathematical model; Minimization; Optimization; Programming; Vectors; Fuzzy Linear programming Approach; Fuzzy constraints; Linear Fuzzy Real Numbers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Energy, Power and Control (EPC-IQ), 2010 1st International Conference on
Conference_Location :
Basrah
Electronic_ISBN :
978-0-9568330-0-6
Type :
conf
Filename :
5767356
Link To Document :
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