Paper Info
Title
A generalized equilibrium value-based approach for solving fuzzy programming problem
Abstract
Fuzzy programming approach has wide application in many fields such as project management, multi-attribute decision making, and comprehensive evaluation. Its solving methods have attracted many attentions. In this paper we present a new approach, based on the genetic algorithm, for dealing with a programming problem with fuzzy-valued objective function and constraints. Firstly, we propose the concept of generalized equilibrium value of fuzzy number, and analyze the properties, further give the operation rules; secondly, we establish a generalized equilibrium value-based fuzzy programming method combined with genetic algorithm; finally, we analyze the characteristic of the above mentioned method through a nonlinear fuzzy programming problems.
Year
DOI
Venue
2014
10.1109/FUZZ-IEEE.2014.6891695
FUZZ-IEEE
Keywords
Field
DocType
fuzzy-valued objective function,multiattribute decision making,nonlinear fuzzy programming problems,fuzzy set theory,fuzzy programming,generalized equilibrium value-based approach,triangular fuzzy number,nonlinear programming,fuzzy-valued constraints,generalized equilibrium value,project management,genetic algorithm,genetic algorithms,fuzzy number,fuzzy programming problem,fuzzy number ranking,comprehensive evaluation,mathematical model,uncertainty,programming,linear programming
Mathematical optimization,Defuzzification,Fuzzy classification,Fuzzy set operations,Computer science,Inductive programming,Fuzzy measure theory,Fuzzy transportation,Artificial intelligence,Type-2 fuzzy sets and systems,Fuzzy number,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4799-2073-0
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Chenxia Jin110113.20
Meng Yang204.39
Yan Shi328527.64
Fachao Li415722.30