Results 1 to 10 of about 11,113 (307)
Transformation Linear Membership Function by Using the Modified S- Curve [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 In this paper, we concentrate on two cases of fuzzy linear programming problems (FLPP): LPP with coefficient of objective function and coefficient of available resources and constraint are trapezoidal and triangular of fuzzy numbers respectively.
Abdul Rahim K.Rahi and Shorish Omer Abdulla
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Solving fuzzy linear programming problems by using the fuzzy exponential barrier method
Ratio Mathematica, 2023 In order to resolve the fuzzy linear programming problem, the fuzzy exponential barrier approach is the major strategy employed in this article. To overcome the problems with fuzzy linear programming, this method uses an algorithm.
A Nagoor gani, R Yogarani
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Fuzzy stochastic inventory model for deteriorating item [PDF]
Yugoslav Journal of Operations Research, 2017 A multi item profit maximization inventory model is developed in fuzzy stochastic environment. Demand is taken as Stock dependent demand. Available storage space is assumed to be imprecise and vague in nature. Impreciseness has been expressed by
Waliv Rahul H., Umap Hemant P.
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A Generalized Model for Fuzzy Linear Programs with Trapezoidal Fuzzy Numbers [PDF]
Journal of Applied Research on Industrial Engineering, 2017 In this paper, we generalize a linear programming problem with symmetric trapezoidal fuzzy number which is introduced by Ganesan and et al. in [3] to a general kind of trapezoidal fuzzy number.
Seyed Hadi Nasseri +2 more
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PENDEKATAN ALGORITMA GENETIKA DALAM MENYELESAIKAN PERMASALAHAN FUZZY LINEAR PROGRAMMING
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2011 Fuzzy linear programming is one of the linear programming developments which able to accommodate uncertainty in the real world. Genetic algorithm approach in solving linear programming problems with fuzzy constraints has been introduced by Lin (2008) by ...
Siska Dewi Lestari, Subanar Subanar
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FFLP problem with symmetric trapezoidal fuzzy numbers [PDF]
Decision Science Letters, 2015 The most popular approach for solving fully fuzzy linear programming (FFLP) problems is to convert them into the corresponding deterministic linear programs. Khan et al. (2013) [Khan, I. U., Ahmad, T., & Maan, N. (2013).
Reza Daneshrad , Davood Jafari
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Fuzzy Linear Programming Based on Fuzzy Functions
IFAC Proceedings Volumes, 1981 Abstract Linear programming problems with fuzzy parameters have been formulated by fuzzy functions. The ambiguity considered here is not randomness, but fuzziness which is associated with the lack of sharp transition from membership to nonmembership. Parameters on constraint and objective functions are given by fuzzy sets.
Tanaka, Hideo, Asai, Kiyoji
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Solving the fully fuzzy multi-choice linear programming model [PDF]
تصمیم گیری و تحقیق در عملیاتPurpose: Fuzzy multi-choice problems are widely used in the real world in the fields of industry, agriculture, science, technology, etc. Therefore, studying and solving such problems is essential.
Zahra Arami +2 more
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Evaluating fuzzy inequalities and solving fully fuzzified linear fractional programs [PDF]
Yugoslav Journal of Operations Research, 2012 In our earlier articles, we proposed two methods for solving the fully fuzzified linear fractional programming (FFLFP) problems. In this paper, we introduce a different approach of evaluating fuzzy inequalities between two triangular fuzzy numbers and
Stanojević B., Stancu-Minasian I.M.
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Barekeng, 2022 The problems of linear programming are developing from time to time, and its complexity is constantly growing. Various problems can be viewed as a multi-objective fuzzy linear programming, multi-objective stochastic linear programming or a combination of
Grandianus Seda Mada +3 more
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