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Article
A framework for accessing the equilibrium point of a multi-objective decision-making (MODM): a case study
In recent years, equilibrium is the most generally used solution concept in game theory. This idea may be a state-of-the-art interpretation of a method game. Each player has an accurate prediction of other pla...
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Article
A Nash equilibrium based decision-making method for performance evaluation: a case study
In organizational management, selecting the most appropriate combination of balanced scorecard (BSC) indicators as an equilibrium point based on scientific methods is of great value. In this paper, a new appro...
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Article
Robust design and planning for a multi-mode multi-product supply network: a dairy industry case study
As a salient matter of decision, supply chain design and planning has been a point of attraction for both researchers and practitioners. In real-world problems, the data based on which the decision is made are...
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Article
Location and transportation planning in supply chains under uncertainty and congestion by using an improved electromagnetism-like algorithm
Supply chain decision makers are constantly trying to improve the customer demand fulfillment process and reduce the associated costs via decision making models and techniques. As two of the most important par...
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Article
Open AccessMTBF evaluation for 2-out-of-3 redundant repairable systems with common cause and cascade failures considering fuzzy rates for failures and repair: a case study of a centrifugal water pum** system
In many cases, redundant systems are beset by both independent and dependent failures. Ignoring dependent variables in MTBF evaluation of redundant systems hastens the occurrence of failure, causing it to take...
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Article
Open AccessA genetic algorithm for a bi-objective mathematical model for dynamic virtual cell formation problem
Nowadays, with the increasing pressure of the competitive business environment and demand for diverse products, manufacturers are force to seek for solutions that reduce production costs and rise product quali...
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Chapter
Generalized Reinforcement Learning Fuzzy Control with Vague States
This paper presents a generalized method for tuning a fuzzy logic controller based on reinforcement learning in a dynamic environment. We extend the Generalized Approximate Reasoning-base Intelligent Controlle...
