Penalty Method for Fuzzy Linear Programming With Trapezoidal Numbers
Bogdana Stanojević, Milan Stanojević (2009)
The Yugoslav Journal of Operations Research
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Bogdana Stanojević, Milan Stanojević (2009)
The Yugoslav Journal of Operations Research
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Mariano Jiménez López, María Victoria Rodríguez Uría, María del Mar Arenas Parra, Amelia Bilbao Terol (2000)
Mathware and Soft Computing
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In this paper we propose a method to solve a linear programming problem involving fuzzy parameters whose possibility distributions are given by fuzzy numbers. To address the above problem we have used a preference relationship of fuzzy numbers that leads us to a solving method that produces the so-called α-degree feasible solutions. It must be pointed out that the final solution of the problem depends critically on this degree of feasibility, which is in conflict with the optimal value...
Abbas, S. E. (2003)
International Journal of Mathematics and Mathematical Sciences
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Plamen P. Angelov (1994)
The Yugoslav Journal of Operations Research
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José M. Cadenas, Fernando Jiménez (1994)
Mathware and Soft Computing
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We present an interactive decision support system which aids in solving a general multiobjective fuzzy problem, that is, a multiobjective programming problem with fuzzy goals subject to a fuzzy constraint set. The interactive decision support system is proposed. After eliciting the fuzzy goals of the decision maker for each objective function and the fuzzy elements for each constraint, the satisfactory solutions for the decision maker were derived by interactively updating the reference...
Jaroslav Ramík (1983)
Kybernetika
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Liu, F.B. (2002)
International Journal of Mathematics and Mathematical Sciences
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Slobodan Vujić, Goran Ćirović (1996)
The Yugoslav Journal of Operations Research
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José M. Cadenas, Fernando Jiménez (1996)
Mathware and Soft Computing
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In this paper, we propose a relationship of fuzzy duality. We use the Decomposition Theorem and some properties about Linear Programming with interval coefficients to define this relationship. Thus, a linear programming problem with fuzzy costs represented by membership functions L-R can be solved by means of two dual problems (linear programming problems with fuzzy constraints). Moreover, these results can be applied to multiobjective problems whose coefficients of the objective function...
Banerjee, S., Roy, T.K. (2010)
Advances in Operations Research
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B. Stanojević, I.M. Stancu-Minasian (2012)
The Yugoslav Journal of Operations Research
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