Results 21 to 30 of about 105,855 (295)
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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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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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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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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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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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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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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Some New Results in Linear Programming Problems with Fuzzy Cost Coefficients
Walailak Journal of Science and Technology, 2013 The fuzzy primal simplex method proposed by Mahdavi-Amiri et al. and the fuzzy dual simplex method proposed by SH Nasseri and A Ebrahimnejad are two current procedures for solving linear programming problems with fuzzy cost coefficients known as reduced ...
Ali EBRAHIMNEJAD
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A MOLFP Method for Solving Linear Fractional Programming Under Fuzzy Environment [PDF]
International Journal of Research in Industrial Engineering, 2017 In this paper, a solution procedure is proposed to solve Fully Fuzzy Linear Fractional Programming (FFLFP) problem where all the variables and parameters are triangular fuzzy numbers.
S.K. Das, T. Mandal
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Developing an Overbooking Fuzzy-Based Mathematical Optimization Model for Multi-Leg Flights [PDF]
, 2020 Overbooking is one of the most vital revenue management practices that is used in the airline industry. Identification of an overbooking level is a challenging task due to the uncertainties associated with external factors, such as demand for tickets ...
Abu Monshar, Anees +2 more
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