Ratio-based data envelopment analysis: An interactive approach to identify benchmark
In the real world we are confronted with many cases where the ratio of input/output data is so important for managers, so in this regard we cannot use traditional Data Envelopment Analysis (DEA) models to evaluate the efficiency of decision-making units (
M.R. Mozaffari +4 more
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Fuzzy Goal Programming for Linear Facility Location-Allocation in a Supply Chain; The Case of Steel Industry [PDF]
This paper presents a mathematical model for a facility location-allocation problem in order to design an integrated supply chain. We consider a supply chain including multiple suppliers, multiple products, multiple plants, multiple transportation ...
S. M. Arabzad +2 more
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Multiple Objective Linear Programming (MOLP) Problems with the Same Objective Space
Under the linear mapping efficient extreme points in decision space of multiple objectives linear programming (MOLP) may not map to non dominated extreme points in objective space, condition that two or even more multiple objective linear programming ...
S.F. Tantawy, R.H. Sallam
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A Better Approach for Solving a Fuzzy Multiobjective Programming Problem by Level Sets
In this paper, we deal with the resolution of a fuzzy multiobjective programming problem using the level sets optimization. We compare it to other optimization strategies studied until now and we propose an algorithm to identify possible Pareto efficient
Beatriz Hernández-Jiménez +3 more
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Multi-choice goal programming (MCGP) has been widely used to find satisfying solutions for multiple criteria/objective decision problems in which the target value of “the more, the better,” or “the less, the better” can easily
Ching-Ter Chang +2 more
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A goal programming procedure for solving fuzzy multiobjective fractional linear programming problems
This paper presents a modification of Pal, Moitra and Maulik's goal programming procedure for fuzzy multiobjective linear fractional programming problem solving.
Tunjo Perić, Zoran Babić, Sead Rešić
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A comparative study of two key algorithms in multiple objective linear programming
Multiple objective linear programming problems are solved with a variety of algorithms. While these algorithms vary in philosophy and outlook, most of them fall into two broad categories: those that are decision space-based and those that are objective ...
Paschal B Nyiam, Abdellah Salhi
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An interactive algorithm for large scale multiple objective programming problems with fuzzy parameters through TOPSIS approach [PDF]
In this paper, we extend TOPSIS (Technique for Order Preference by Similarity Ideal Solution) for solving Large Scale Multiple Objective Programming problems involving fuzzy parameters. These fuzzy parameters are characterized as fuzzy numbers.
Abo-Sinna Mahmoud A. +1 more
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A Fuzzy-MOP-Based Competence Set Expansion Method for Technology Roadmap Definitions
Technology roadmaps have been widely adopted as an important management tool during the past three decades after their invention by Motorola in the 1980s.
Chi-Yo Huang +3 more
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A Multi-Objective Model for Location-Allocation Problem in a Supply Chain [PDF]
The fast changing and dynamic global business environment require companies to plan their entire supply chain from the raw material supplier to the end customer.
F. Mokhtari karchegani +2 more
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