A general formulation and solution of fuzzy multi-objective linear programming problems

The purpose of this article is to explain how a fuzzy linear programming model can be transformed into a fuzzy multi-objective linear programming model and then solved. An algorithm is developed to present our approach and fuzzy optimal solution is obtained. To demonstrate the efficiency and feasibi...

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Veröffentlicht in:IEEE International Conference on Computational Intelligence and Computing Research S. 1 - 5
Hauptverfasser: De, P. K., Chakraborty, A. K., Deb, Moumita
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2016
Schlagworte:
Centroid method
Computational intelligence
Conferences
Fuzzy sets
Linear programming
Mathematical model
Multi-objective fuzzy linear programming
Optimization
Programming
Signed distance
Triangular fuzzy number
ISSN:2473-943X
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Zusammenfassung:The purpose of this article is to explain how a fuzzy linear programming model can be transformed into a fuzzy multi-objective linear programming model and then solved. An algorithm is developed to present our approach and fuzzy optimal solution is obtained. To demonstrate the efficiency and feasibility of the proposed approach, one numerical example has been solved.
ISSN:2473-943X
DOI:10.1109/ICCIC.2016.7919669