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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
The proposed method generates improved solutions in less time and requires less monitoring during the problem-solving proce-dure.
📌 3 Key Takeaways
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Objective & Hypothesis:Solving a certain type of Fuzzy mathematical programming (FMP) require several steps and manual intervention in the solution process.
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Key Findings & Data:Therefore, it reduces the optimality and increases the solving time.
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Conclusion & Impact:The proposed method generates improved solutions in less time and requires less monitoring during the problem-solving proce-dure.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Linear programming · Fuzzy programming · Mathematical programming
Abstract
Solving a certain type of Fuzzy mathematical programming (FMP) require several steps and manual intervention in the solution process. Therefore, it reduces the optimality and increases the solving time. In this research, a methodology is pre-sented that, in addition to being applicable to all types of FMPs, increases optimali-ty and reduces the solving time. The proposed method generates improved solutions in less time and requires less monitoring during the problem-solving proce-dure.
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Cite This Article
Vahidi, A. (2019). A New Defuzzification Method for Solving Fuzzy Mathematical Programming Problems. Hacettepe Journal of Mathematics and Statistics, Volume: 48 Issue: 3. https://ajindex.com/articles/1402798