Journal Article10.1111/1475-3995.00348
A Problem-based Selection of Multi-attribute Decision-making Methods
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TL;DR: In this article, a new approach to the selection of compensatory MADM methods for a specific cardinal ranking problem via sensitivity analysis of attribute weights is presented, which examines the consistency degree between the relative degree of sensitivity of individual attributes using an MADM method and the degree of influence of corresponding attributes indicated by Shannon's entropy concept.
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About: This article is published in International Transactions in Operational Research. The article was published on 01 Mar 2002.
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Review: A state-of the-art survey of TOPSIS applications
TL;DR: A state-of-the-art literature survey is conducted to taxonomize the research on TOPSIS applications and methodologies and suggests a framework for future attempts in this area for academic researchers and practitioners.
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Generalised framework for multi-criteria method selection
TL;DR: A methodological and practical framework for selecting suitable MCDA methods for a particular decision situation and consistency between the methods recommended with the proposed approach and those used by the experts in reference cases is indicated.
A comprehensive VIKOR method for material selection
TL;DR: In this article, a new version of VIKOR method, which covers all types of criteria with emphasize on compromise solution, is proposed in this paper, which can enhance exactness of material selection results in different applications.
354
TOPSIS and Modified TOPSIS: A comparative analysis
TL;DR: In this article , the authors provide extensive simulation-based comparisons and mathematical analysis of these two popular MADM methods in order to clarify the confusion regarding their selection for solving MADM problems.
258
A comprehensive analysis of weighting and multicriteria methods in the context of sustainable energy
TL;DR: The results indicate that hydro is the optimal electricity generation option, followed by onshore wind, solar PV, geothermal, natural gas, and coal.
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