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Journals / Mathematical and Computational Applications / 2009 / Cilt: 14 - Sayı: 2

Operating system selection using fuzzy AHP and TOPSIS methods

SERKAN BALLI
MUSTAFA SERDAR KORUKOĞLU
Pages
119–130
DOI
—
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AI Summary & Key Takeaways

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

Empirical study has also been demonstrated.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of study is developing a fuzzy decision model to select appropriate operating system for computer systems of the firms by taking subjective judgments of decision makers into consideration.
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Key Findings & Data:Proposed approach is based on Fuzzy Analytic Hierarchy Process (FAHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods.
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Conclusion & Impact:Empirical study has also been demonstrated.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The aim of study is developing a fuzzy decision model to select appropriate operating system for computer systems of the firms by taking subjective judgments of decision makers into consideration. Proposed approach is based on Fuzzy Analytic Hierarchy Process (FAHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods. FAHP method is used in determining the weights of the criteria by decision makers and then rankings of the operating systems are determined by TOPSIS method. Empirical study has also been demonstrated.

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Cite This Article

BALLI, S., KORUKOĞLU, M. S. (2009). Operating system selection using fuzzy AHP and TOPSIS methods. Mathematical and Computational Applications, Cilt: 14 - Sayı: 2, 119–130. https://ajindex.com/articles/280053

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