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Select the Best Place for Regenerative Practices in Tourism by Using the Fuzzy MABAC Method
Abstract
Selecting the ideal location for regenerative tourism is vital for environmental preservation and sustainable progress. Destination choice significantly impacts regenerative initiatives' effectiveness, affecting ecological benefits and socio-economic outcomes. A well-selected site fosters ecosystem restoration and positive engagement with indigenous communities, leveraging tourism as a force for biodiversity preservation, carbon capture, and local empowerment. In this chapter, the fuzzy multi-attributive border approximation area comparison (MABAC) approach is utilized to select the optimal site for regenerative tourism initiatives, considering six criteria each with five alternatives and input from three decision-makers. Normalization occurs after forming the initial decision matrix, followed by weight normalization. Performance index and rank are determined using the fuzzy multi-attributive border approximation area comparison (MABAC) procedure. Ultimately, after careful evaluation and consideration, it becomes evident that the fifth alternative stands out as the most suitable location for implementing regenerative practices in the field of tourism.
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