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A fuzzy multicriteria model of sustainable tourism: Examples from the V4 countries

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dc.title A fuzzy multicriteria model of sustainable tourism: Examples from the V4 countries en
dc.contributor.author Škare, Marinko
dc.contributor.author Gavurová, Beáta
dc.contributor.author Polishchuk, Volodymyr
dc.relation.ispartof IEEE Transactions on Engineering Management
dc.identifier.issn 0018-9391 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 1558-0040 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2023
dc.type article
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/TEM.2023.3239519
dc.relation.uri https://ieeexplore.ieee.org/document/10034943
dc.relation.uri https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10034943
dc.subject sustainable development en
dc.subject decision making en
dc.subject data models en
dc.subject complexity theory en
dc.subject analytical models en
dc.subject fuzzy logic en
dc.subject costs en
dc.subject decision-making en
dc.subject destination image en
dc.subject expert evaluation en
dc.subject fuzzy sets en
dc.subject multicriteria model en
dc.subject sustainable regional development en
dc.description.abstract The variability of the decision-making problems in the tourism sector is increasing and, thus, it requires studying several dimensions at the same time. Its complexity is also putting pressure on the use of demanding decision-making methods and algorithms that open a field for further investigation. The main goal of this article is to develop a fuzzy multicriteria model for evaluating the level of the image of the destination based on the dependence between costs, the number of days of stay, and the satisfaction of tourists as well as taking into account the levels of sustainable development of the example regions of the V4 countries. The model is verified and adjusted on the real data of 2343 tourists for the period 2017-2021 for the regions of the V4 countries; an approbation example is given on fragments of the data from 126 experts after a trip in 2020 in the three regions: the Zilina region (Slovakia), the Moravian-Silesian Region (the Czech Republic), and the Lesser Poland Voivodeship (Poland). The article results provide a valuable analytical platform for policy-makers, who have, thus, obtained a tool not only to evaluate the image and current sustainability of a region but also to forecast sustainability development. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1011437
utb.identifier.obdid 43884299
utb.identifier.scopus 2-s2.0-85148459051
utb.identifier.wok 000935672000001
utb.identifier.coden IEEMA
utb.source j-scopus
dc.date.accessioned 2023-03-15T07:46:34Z
dc.date.available 2023-03-15T07:46:34Z
dc.description.sponsorship Internal Grant Agency of FaME Tomas Bata University in Zlin [RO/2022]; "CSR and enterprise sustainability in SME segment"
dc.format.extent 12
utb.ou Centre for Applied Economic Research
utb.contributor.internalauthor Gavurová, Beáta
utb.fulltext.sponsorship This work was supported by the Internal Grant Agency of FaME Tomas Bata University in Zlin under Grant RO/2022 “CSR and enterprise sustainability in SME segment.”
utb.wos.affiliation [Skare, Marinko] Juraj Dobrila Univ Pula, Pula 52100, Croatia; [Skare, Marinko] Univ Econ & Human Sci Warsaw, PL-01043 Warsaw, Poland; [Gavurova, Beata] Tomas Bata Univ Zlin, Fac Management & Econ, Ctr Appl Econ Res, Zlin 76001, Czech Republic; [Polishchuk, Volodymyr] Uzhgorod Natl Univ, Dept Software Syst, UA-88000 Uzhgorod, Ukraine
utb.scopus.affiliation Juraj Dobrila University of Pula, Pula, Croatia; Center for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlín, Zlin, Czech Republic; Department of Software Systems, Uzhhorod National University, Uzhhorod, Ukraine
utb.fulltext.projects RO/2022
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