Journals / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2014 / Cilt: 32 - Sayı: 4

USING SOME FUZZY AGGREGATION OPERATORS FOR MULTI-OBJECTIVE LINEAR TRANSPORTATION PROBLEM

Pages
399–421
Publication Date
2014-12-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

And an illustrative example is provided to compare these aggregation operators and to conclude which operator is more appropriate for the concerning problem.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Using fuzzy aggregation operators, compensatory fuzzy approaches can be proposed for multi-objective problems.
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Key Findings & Data:The variety of operators for the aggregation of objectives might be confusing and might make it difficult to decide which one to apply to the problem.
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Conclusion & Impact:And an illustrative example is provided to compare these aggregation operators and to conclude which operator is more appropriate for the concerning problem.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Transportation problem · multi-objective programming · fuzzy aggregation operators

Abstract

Using fuzzy aggregation operators, compensatory fuzzy approaches can be proposed for multi-objective problems. The variety of operators for the aggregation of objectives might be confusing and might make it difficult to decide which one to apply to the problem. For example while Zimmermann’s “min” operator provides numerical efficiency, it does not guarantee compensatory and Pareto-optimality. In this paper, we present brief information about some important compensatory fuzzy aggregation operators and then apply them to the Multi-objective Linear Transportation Problem (MOLTP) to obtain a compensatory compromise Pareto-optimal solution set. And an illustrative example is provided to compare these aggregation operators and to conclude which operator is more appropriate for the concerning problem.

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Cite This Article

KÖÇKEN, H. G., TİRYAKİ, F. (2014). USING SOME FUZZY AGGREGATION OPERATORS FOR MULTI-OBJECTIVE LINEAR TRANSPORTATION PROBLEM. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 32 - Sayı: 4, 399–421. https://ajindex.com/articles/419408

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