DocumentCode
641023
Title
Multi-objective optimization based on fuzzy if-then rules
Author
Chakraborty, Debasis ; Guha, Dibyendu
Author_Institution
Dept. of Math., IIT Kharagpur, Kharagpur, India
fYear
2013
fDate
7-10 July 2013
Firstpage
1
Lastpage
7
Abstract
In this paper, a fuzzy multi-objective mathematical programming problem is considered where functional relationship between the decision variables and the objective functions is not completely known to us. It is assumed that the information source from where some knowledge may be obtained about objective functions consists of a block of fuzzy if-then rules. The focus in this work is to solve the multi-objective optimization problem for the above situations. A numerical example is also presented to illustrate the method.
Keywords
fuzzy logic; mathematical programming; decision variables; functional relationship; fuzzy if-then rules; fuzzy multiobjective mathematical programming problem; multiobjective optimization; objective functions; Fuzzy reasoning; Linear programming; Mathematical model; Optimization; Pragmatics; Programming; Vectors; Linguistic variable; Takagi-Sugeno fuzzy reasoning; Tsukamoto´s fuzzy reasoning; fuzzy rule; multi-objective optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location
Hyderabad
ISSN
1098-7584
Print_ISBN
978-1-4799-0020-6
Type
conf
DOI
10.1109/FUZZ-IEEE.2013.6622519
Filename
6622519
Link To Document