Results 21 to 30 of about 160,647 (295)
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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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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Proposed Method for Optimizing Fuzzy linear programming Problems by using Two-Phase Technique [PDF]
Iraqi Journal for Electrical and Electronic Engineering, 2010 Fuzzy linear programming (FLP ) is an application of fuzzy set theory in linear decision making problems and most of these problems are related to linear programming contains fuzzy constrains or crisp objectives function or contains crisp ...
Zaki .S. Towfik, Sabiha Fathil Jawad
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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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Fuzzy Information and Engineering, 2015 In many real-life decision making problems, probabilistic fuzzy goal programming problems are used where some of the input parameters of the problem are considered as random variables with fuzzy aspiration levels.
S.K. Barik
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Mathematics, 2019 In this study, we systematically investigate a road-rail intermodal routing problem the optimization of which is oriented on the customer demands on transportation economy, timeliness and reliability.
Yan Sun, Xinya Li
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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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Least Squares Method for Solving Fuzzy LR Interval Algebraic Linear Systems
Fuzzy Information and Engineering, 2022 We first investigate the solvability conditions of fuzzy LR interval algebraic linear systems with fuzzy LR interval coefficient matrix and fuzzy LR interval hand-right vector.
Mehrnoosh Salari +2 more
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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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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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