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Utilizing Fuzzy Linear Programming For Addressing Ecological Decision-Making Under Uncertainty
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چکیده: (9 مشاهده) |
This article examines and analyzes fuzzy linear programming models and techniques. Since its emergence in the 1970s, fuzzy linear programming has addressed the growing complexity of decision-making problems in the real world that occur in uncertain and dynamic environments. Fuzzy linear programming is based on fuzzy set theory and traditional linear programming theory, covering a wide range of theoretical research and algorithmic advancements. Unlike traditional linear programming, fuzzy linear programming does not have a single model, as fuzziness can manifest in various aspects of the model. This paper focuses on solving fuzzy linear programming problems that include inequality constraints. The suggested method employs Yager's linear fuzzy relation, providing a simple and effective way to manage the complexities associated with fuzzy parameters.
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نوع مطالعه: پژوهشی |
موضوع مقاله:
Fuzzy Sets and Systems
دریافت: 1404/4/10 | پذیرش: 1404/7/18 | انتشار: 1404/7/18
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