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
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;
Conference_Titel :
Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
Conference_Location :
El Paso, TX
Print_ISBN :
978-1-61284-968-3
Electronic_ISBN :
Pending
DOI :
10.1109/NAFIPS.2011.5752026
