Journal Article10.1016/J.ESWA.2010.04.066
A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods
TL;DR: An evaluation model based on the fuzzy analytic hierarchy process and the technique for order performance by similarity to ideal solution, fuzzy TOPSIS is developed to help the industrial practitioners for the performance evaluation in a fuzzy environment.
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Abstract: Multiple criteria decision-making (MCDM) research has developed rapidly and has become a main area of research for dealing with complex decision problems. The purpose of the paper is to explore the performance evaluation model. This paper develops an evaluation model based on the fuzzy analytic hierarchy process and the technique for order performance by similarity to ideal solution, fuzzy TOPSIS, to help the industrial practitioners for the performance evaluation in a fuzzy environment where the vagueness and subjectivity are handled with linguistic values parameterized by triangular fuzzy numbers. The proposed method enables decision analysts to better understand the complete evaluation process and provide a more accurate, effective, and systematic decision support tool.
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Citations
Measuring Corporate Social Responsibility Based on a Fuzzy Analytical Hierarchy Process
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TL;DR: A systematic approach to measure CSR using fuzzy analytical hierarchy process (FAHP) is proposed and a preliminary investigation is presented to explain how the approach can help in evaluating CSR in practice.
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A novel FMEA model based on fuzzy multiple-criteria decision-making methods for risk assessment
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TL;DR: A novel fuzzy multiple-criteria decision-making (MCDM)-based FMEA model is proposed for assessing the risks of different failure modes more accurately and findings indicate that the proposed model is a beneficial and applicable tool for risk assessment.
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A Fuzzy Trade-Off Ranking Method for Multi-Criteria Decision-Making
Nor Izzati Jaini,Sergey Utyuzhnikov,Sergey Utyuzhnikov +2 more
- 26 Dec 2017
TL;DR: The triangular fuzzy numbers are used to represent the imprecise numerical quantities in the criteria values of each alternative and the weight of each criterion in the fuzzy multi-criteria decision-making environment.
A method for the selection of customized equipment suppliers
TL;DR: A modification to a method for multi-criteria decision analysis as a support in evaluation based on a combination of fuzzy Analytic Hierarchy Process and the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS).
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