DocumentCode :
3664047
Title :
A centroid-based approach for solving linear programming problems with Interval Type-2 Fuzzy technological coefficients
Author :
Juan Carlos Figueroa-García;Germán Hernández-Pérez
Author_Institution :
Universidad Distrital Francisco José
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents a proposal for solving linear programming problems whose technological parameters are defined by multiple experts using Interval Type-2 Fuzzy numbers. To reduce the complexity of solving this kind of problems, we propose to use the centroids of the technological parameters and then solve the resultant interval optimization problem. We also compare the results of our proposal to some previous results to see how different/similar both are.
Keywords :
"Fuzzy sets","Uncertainty","Linear programming","Computational modeling","Complexity theory","Optimization","Decision making"
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015 Annual Conference of the North American
Type :
conf
DOI :
10.1109/NAFIPS-WConSC.2015.7284187
Filename :
7284187
Link To Document :
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