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
Online-Zugang:	Volltext
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