A heuristic fuzzy algorithm for assessing and managing tourism sustainability

“Smartness” and “sustainability” are gaining growing attention from both practitioners and policy makers. “Smartness” and “sustainability” assessments are of crucial importance for directing, in a systemic perspective, the decision-making process toward sustainability and smart growth objectives. Su...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 24; H. 6; S. 4027 - 4040
Hauptverfasser:	Andria, Joseph, di Tollo, Giacomo, Pesenti, Raffaele
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2020 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Climate change Community Computational Intelligence Control Correlation analysis Economic growth Engineering Fuzzy logic Level indicators Management decisions Mathematical Logic and Foundations Mechatronics Methodologies and Application Quality of life Robotics Smart cities Sustainability Sustainable development Sustainable tourism Urban planning Variables Fuzzy sets Multi-objective optimization Evolutionary algorithms Sustainability Threshold accepting
ISSN:	1432-7643, 1433-7479
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Abstract	“Smartness” and “sustainability” are gaining growing attention from both practitioners and policy makers. “Smartness” and “sustainability” assessments are of crucial importance for directing, in a systemic perspective, the decision-making process toward sustainability and smart growth objectives. Sustainability assessment is a major challenge due to the multidisciplinary aspects involved that make the evaluation process complex and hinder the effectiveness of available monitoring tools. To achieve the assessment objective, we introduce an enhanced fuzzy logic-based framework for handling the inherent uncertainty and vagueness of the involved variables: we apply our approach to Italy, and we compare it with two other sustainability methodologies. We also perform a correlation analysis to assess the relationship between our ranking results and the attained quality of life scores. Our approach ensures a high level of versatility that makes its use possible jointly with (or alternatively to) other existing methodologies such as the Global Sustainable Tourism Council Criteria and the United Nations World Tourism Organization destination-level indicators.
AbstractList	“Smartness” and “sustainability” are gaining growing attention from both practitioners and policy makers. “Smartness” and “sustainability” assessments are of crucial importance for directing, in a systemic perspective, the decision-making process toward sustainability and smart growth objectives. Sustainability assessment is a major challenge due to the multidisciplinary aspects involved that make the evaluation process complex and hinder the effectiveness of available monitoring tools. To achieve the assessment objective, we introduce an enhanced fuzzy logic-based framework for handling the inherent uncertainty and vagueness of the involved variables: we apply our approach to Italy, and we compare it with two other sustainability methodologies. We also perform a correlation analysis to assess the relationship between our ranking results and the attained quality of life scores. Our approach ensures a high level of versatility that makes its use possible jointly with (or alternatively to) other existing methodologies such as the Global Sustainable Tourism Council Criteria and the United Nations World Tourism Organization destination-level indicators.
Author	Andria, Joseph di Tollo, Giacomo Pesenti, Raffaele
Author_xml	– sequence: 1 givenname: Joseph orcidid: 0000-0003-3361-2276 surname: Andria fullname: Andria, Joseph email: joseph.andria@unipa.it organization: Dipartimento di Scienze Economiche, Aziendali e Statistiche, University of Palermo – sequence: 2 givenname: Giacomo surname: di Tollo fullname: di Tollo, Giacomo organization: Dipartimento di Economia, Universitá Ca’ Foscari – sequence: 3 givenname: Raffaele surname: Pesenti fullname: Pesenti, Raffaele organization: Dipartimento di Management, Universitá Ca’ Foscari
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Snippet	“Smartness” and “sustainability” are gaining growing attention from both practitioners and policy makers. “Smartness” and “sustainability” assessments are of...
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SubjectTerms	Algorithms Artificial Intelligence Climate change Community Computational Intelligence Control Correlation analysis Economic growth Engineering Fuzzy logic Level indicators Management decisions Mathematical Logic and Foundations Mechatronics Methodologies and Application Quality of life Robotics Smart cities Sustainability Sustainable development Sustainable tourism Urban planning Variables
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Title	A heuristic fuzzy algorithm for assessing and managing tourism sustainability
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