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EnglishIn this article, we propose a method for ranking tourist destinations and evaluating their performances under a sustainability perspective: a fuzzy multiple criteria decision-making method is applied for determining sustainability performance values and ranking destinations accordingly. We select a set of sustainability evaluation criteria and use a fuzzy analytic hierarchy process to weight the selected criteria. We also optimize each evaluator’s membership function support by means of a fuzzy entropy maximization criteria. A case study is illustrated and results are compared with two data envelopment analysis–based models. The simplicity of the proposed approach along with the easy readability of the results allow its direct applicability for all involved stakeholders.
Andria, J., di Tollo, G., & Pesenti, R. (2021). Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability. TOURISM ECONOMICS, 27(1), 168-186.
| Data di pubblicazione: | 2021 |
| Titolo: | Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability |
| Autori: | |
| Citazione: | Andria, J., di Tollo, G., & Pesenti, R. (2021). Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability. TOURISM ECONOMICS, 27(1), 168-186. |
| Rivista: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1177/1354816619885207 |
| Abstract: | In this article, we propose a method for ranking tourist destinations and evaluating their performances under a sustainability perspective: a fuzzy multiple criteria decision-making method is applied for determining sustainability performance values and ranking destinations accordingly. We select a set of sustainability evaluation criteria and use a fuzzy analytic hierarchy process to weight the selected criteria. We also optimize each evaluator’s membership function support by means of a fuzzy entropy maximization criteria. A case study is illustrated and results are compared with two data envelopment analysis–based models. The simplicity of the proposed approach along with the easy readability of the results allow its direct applicability for all involved stakeholders. |
| Appare nelle tipologie: | 1.01 Articolo in rivista |
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http://hdl.handle.net/10447/386119
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