DocumentCode
2975037
Title
An iterative procedure for fuzzy linear programming problems
Author
García, Juan Carlos Figueroa
Author_Institution
Lab. for Autom., Univ. Distrital Francisco Jose de Caldas, Bogota, Colombia
fYear
2011
fDate
18-20 March 2011
Firstpage
1
Lastpage
6
Abstract
This paper presents an iterative algorithm to find optimal solutions for fuzzy linear programming problems. By means of α-cuts and the cumulative membership function, a problem with nonlinear left and linear right-hand side parameters is solved. The proposed method is based on crisp optimization principles and it is capable to find solutions of its starting point.
Keywords
fuzzy set theory; iterative methods; linear programming; α-cuts; crisp optimization principles; cumulative membership function; fuzzy linear programming; iterative algorithm; Computational modeling; Fuzzy sets; Gold; Iterative methods; Joints; Linear programming; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
Conference_Location
El Paso, TX
ISSN
Pending
Print_ISBN
978-1-61284-968-3
Electronic_ISBN
Pending
Type
conf
DOI
10.1109/NAFIPS.2011.5752026
Filename
5752026
Link To Document