Furthermore, the rankings were obtained by using AHP and TOPSIS methods under crisp/ fuzzy environment to show performance of the proposed method.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, we present an integrated method of Analytical Hierarchy Process based on interval type-2 fuzzy sets (IT2FAHP) and Techniquefor Order Performance by Similarity to Ideal Solution based on on interval type-2 fuzzy sets (IT2FTOPSIS).
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Key Findings & Data:The applicability of the proposedintegrated method was performed on a case study of evaluation of life quality for 28 European Union Countries and other six countries, Iceland,Macedonia, Montenegro, Serbia, Turkey and Kosovo, in terms of 30 subjective criteria.
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Conclusion & Impact:Furthermore, the rankings were obtained by using AHP and TOPSIS methods under crisp/ fuzzy environment to show performance of the proposed method.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Multi criteria decision making · AHP · TOPSIS
Abstract
In this study, we present an integrated method of Analytical Hierarchy Process based on interval type-2 fuzzy sets (IT2FAHP) and Techniquefor Order Performance by Similarity to Ideal Solution based on on interval type-2 fuzzy sets (IT2FTOPSIS). The applicability of the proposedintegrated method was performed on a case study of evaluation of life quality for 28 European Union Countries and other six countries, Iceland,Macedonia, Montenegro, Serbia, Turkey and Kosovo, in terms of 30 subjective criteria. The weights of the criteria were computed by IT2FAHP and the ranking of life quality for considered countries was constituted by IT2FTOPSIS. Furthermore, the rankings were obtained by using AHP and TOPSIS methods under crisp/ fuzzy environment to show performance of the proposed method.
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