Production Planning in Mines Using Fuzzy Linear Programming
Slobodan Vujić, Goran Ćirović (1996)
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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Yoshiki Uemura (2006)
Control and Cybernetics
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Nirmal Kumar Mandal (2012)
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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Rita Almeida Ribeiro, Fernando Moura Pires (1999)
Kybernetika
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This paper shows how the simulated annealing (SA) algorithm provides a simple tool for solving fuzzy optimization problems. Often, the issue is not so much how to fuzzify or remove the conceptual imprecision, but which tools enable simple solutions for these intrinsically uncertain problems. A well-known linear programming example is used to discuss the suitability of the SA algorithm for solving fuzzy optimization problems.
R. Marín, S. Barro, F. Palacios, R. Ruiz, F. Martín (1994)
Mathware and Soft Computing
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In this work we propose an approach for the application of a fuzzy temporal constraint model to intelligent patient monitoring tasks. After analyzing the requirements of the domain, we describe the approach that was followed in order to represent temporal information and solve queries on temporal relations. These processes require the cooperation of a temporal specialist with the domain reasoning mechanisms. The integration solution presented here corresponds to a stage of the implementation...
Gordana Radojević, Milija Suknović (2009)
Computer Science and Information Systems
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Danijela Tadić (2005)
The Yugoslav Journal of Operations Research
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Milanka Gardašević-Filipović, Dragan Z. Šaletić (2010)
The Yugoslav Journal of Operations Research
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Danijela Tadić, Predrag Popović, Aleksandar Đukić (2010)
The Yugoslav Journal of Operations Research
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S. Kar, T. Roy, M. Maiti (2001)
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...
Banerjee, S., Roy, T.K. (2010)
Advances in Operations Research
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Danijela Galović, Đorđe Zrnić (1999)
The Yugoslav Journal of Operations Research
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Chaang -Yung Kung, Tzung-Ming Yan (2010)
The Yugoslav Journal of Operations Research
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