Assessment of Mountain Tourism Sustainability Using Integrated Fuzzy MCDM Model

Ming Xu, Chunjing Bai, Lei Shi (), Adis Puška (), Anđelka Štilić and Željko Stević
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Ming Xu: School of Business Administration, Jilin University of Finance and Economics, Changchun 130117, China
Chunjing Bai: School of Business Administration, Jilin University of Finance and Economics, Changchun 130117, China
Lei Shi: School of Sports Sciences, Tianjin Normal University, Tianjin 300387, China
Adis Puška: Department of Public Safety, Government of Brčko District of Bosnia and Herzegovina, Bulevara Mira 1, 76100 Brčko, Bosnia and Herzegovina
Anđelka Štilić: The College of Tourism, Academy of Applied Studies Belgrade, Bulevar Zorana Đinđića 152a, 11070 Belgrade, Serbia
Željko Stević: Faculty of Transport and Traffic Engineering, University of East Sarajevo, Vojvode Mišića 52, 74000 Doboj, Bosnia and Herzegovina

Sustainability, 2023, vol. 15, issue 19, 1-24

Abstract: The sustainable development of mountain tourism is crucial for preserving the delicate ecosystems and resources found in these unique landscapes. This research paper investigates the sustainability of mountain lodges, which serve as essential facilities for delivering mountain tourism services. To assess sustainability, expert decision making involving eight selected experts was employed. A hybrid approach combining the IMF SWARA (IMproved Fuzzy Step-wise Weight Assessment Ratio Analysis) method with Fuzzy Dombi Aggregation Operators was utilized to determine the weights of various sustainability criteria. The IMF SWARA method assigned initial weights based on expert input, which were subsequently adjusted using Fuzzy Dombi Aggregation Operators. The findings highlight the significance of two key criteria as per expert evaluations: the quality of the services offered (C21) and the preservation of natural resources (C15). To rank and evaluate the mountain lodges, the fuzzy CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) method was employed, ultimately identifying Zabrana (ML6) as the top-ranked mountain lodge. The validity of these results was confirmed through result validation and sensitivity analysis. This research contributes by providing insights into the current state of mountain tourism and offering guidelines for enhancing the overall mountain tourism experience through the integration of fuzzy methods.

Keywords: mountain tourism; mountain lodges; IMF SWARA method; Fuzzy Dombi Aggregation Operators; fuzzy CRADIS method (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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