4.6 Article

Assessment of Mountain Tourism Sustainability Using Integrated Fuzzy MCDM Model

Journal

SUSTAINABILITY
Volume 15, Issue 19, Pages -

Publisher

MDPI
DOI: 10.3390/su151914358

Keywords

mountain tourism; mountain lodges; IMF SWARA method; Fuzzy Dombi Aggregation Operators; fuzzy CRADIS method

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This research investigated the sustainability of mountain lodges and used expert decision making and fuzzy methods for evaluation and ranking. The findings highlighted the importance of service quality and natural resource preservation. By providing insights into the current state of mountain tourism, this research offers guidelines for enhancing the mountain tourism experience.
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.

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