A compromise solution for the neutrosophic multi-objective linear programming problem and its application in transportation problem [PDF]
Journal of Applied Research on Industrial Engineering, 2023 Neutrosophic set theory plays an important role in dealing with the impreciseness and inconsistency in data encountered in solving real-life problems. The current paper focuses on the neutrosophic fuzzy multiobjective linear programming problem (NFMOLPP),
Elham Hosseinzadeh, Javad Tayyebi
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Development of Integrated Linear Programming Fuzzy-Rough MCDM Model for Production Optimization
Axioms, 2022 One of the most common tools for achieving optimization and adequate production process management is linear programming (LP) in various forms. However, there are specific cases of the application of linear programming when production optimization ...
Milan Dordevic +6 more
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Neutrosophic Compromise Programming Approach for Multiobjective Nonlinear Transportation Problem with Supply and Demand Following the Exponential Distribution [PDF]
Operations Research and Decisions, 2022 Decision-making is a tedious and complex process. In the present competitive scenario, any incorrect decision may excessively harm an organization. Therefore, the parameters involved in the decision-making process should be looked into carefully as they ...
Ahmad Yusuf Adhami, Mohd Faizan, Anas M
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Fuzzy goal programming applied to multi-objective programming problem with FREs as constraints [PDF]
Decision Science Letters, 2015 This paper presents an alternate technique based on fuzzy goal programming (FGP) approach to solve multi-objective programming problem with fuzzy relational equations (FREs) as constraints.
Kailash Lachhwani
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Alexandria Engineering Journal, 2021 In a managerial position, the ultimate objective is to take the right decision for the decision maker (DM) when transportation parameters are uncertain due to the globalization and other uncontrollable influences. In this paper, fuzzy membership function
Md. Sharif Uddin +3 more
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PLoS ONE, 2023 This study investigates the compromise allocation of multivariate stratified sampling with complete response and nonresponse. We have formulated a multivariate stratified sampling problem as a mathematical programming problem to estimate p-population ...
Yashpal Singh Raghav +2 more
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A fuzzy compromise programming approach for the Black-Litterman portfolio selection model [PDF]
Decision Science Letters, 2013 In this paper, we examine advanced optimization approach for portfolio problem introduced by Black and Litterman to consider the shortcomings of Markowitz standard Mean-Variance optimization.
Mohsen Gharakhani, Seyed Jafar Sadjadi
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Solving a Fully Fuzzy Linear Programming Problem through Compromise Programming
Journal of Applied Mathematics, 2013 In the current literatures, there are several models of fully fuzzy linear programming (FFLP) problems where all the parameters and variables were fuzzy numbers but the constraints were crisp equality or inequality.
Haifang Cheng, Weilai Huang, Jianhu Cai
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Fuzzy goal programming technique for multi-objective indefinite quadratic bilevel programming problem [PDF]
Archives of Control Sciences, 2020 Bilevel programming problem is a non-convex two stage decision making process in which the constraint region of upper level is determined by the lower level problem.
Ritu, Arora, Kavita, Gupta
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Study on probabilistic multi- objective linear fractional programming problems under fuzziness [PDF]
International Journal of Industrial Engineering and Production Research, 2020 This paper deals with a multi- objective linear fractional programming problem involving probabilistic parameters in the right- hand side of the constraints.
Hamiden Khalifa, E. E. Ammar
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