DocumentCode
2063045
Title
Linear programming with fuzzy joint parameters: An iterative method
Author
García, Juan Carlos Figueroa ; Ramos, Leidy Yamile Olarte ; Sanabria, John Fredy Camargo
Author_Institution
Lab. for Autom., Microelectron. & Comput. Intell., Univ. Distrital Francisco Jose de Caldas, Bogota, Colombia
fYear
2010
fDate
Nov. 29 2010-Dec. 1 2010
Firstpage
724
Lastpage
729
Abstract
This paper presents a methodology to find optimal solutions for linear programming problems on imprecise conditions. By using α-cuts, the cumulative membership function and the classic fuzzy linear programming model, a fuzzy joint parameters where its left hand side is defined by any kind of fuzzy set and its right hand side is defined by linear fuzzy sets, is solved and its crisp output is found. The proposed method reduces its computational complexity by dealing without the trial of any expert.
Keywords
computational complexity; fuzzy set theory; iterative methods; linear programming; cumulative membership function; fuzzy joint fuzzy set; iterative method; linear programming; Cumulative Membership Function; Fuzzy Linear Programming; Fuzzy Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2010 10th International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4244-8134-7
Type
conf
DOI
10.1109/ISDA.2010.5687179
Filename
5687179
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