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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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...
Nirmal Kumar Mandal (2012)
The Yugoslav Journal of Operations Research
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Jaroslav Ramík (1983)
Kybernetika
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Plamen P. Angelov (1994)
The Yugoslav Journal of Operations Research
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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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Milanka Gardašević-Filipović, Dragan Z. Šaletić (2010)
The Yugoslav Journal of Operations Research
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Branko Tadić, Danijela Tadić, Nenad Marjanović (2007)
The Yugoslav Journal of Operations Research
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Maroua Hakim, Rachid Zitouni (2024)
Kybernetika
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In this paper, we propose a novel approach for solving a fuzzy bi-objective multi-index fixed-charge transportation problem where the aim is to minimize two objectives: the total transportation cost and transportation time. The parameters of the problem, such as fixed cost, variable cost, and transportation time are represented as fuzzy numbers. To extract crisp values from these parameters, a linear ranking function is used. The proposed approach initially separates the main problem...
Danijela Tadić (2005)
The Yugoslav Journal of Operations Research
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B. Stanojević, I.M. Stancu-Minasian (2012)
The Yugoslav Journal of Operations Research
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