Neutrosophic MABAC Method for Solutions of Ecotourism Centers (EC) in COVID-19

Abstract

The Covid-19 epidemic has had devastating effects on the economy and generated many issues for enterprises worldwide. As a result, it is imperative that during periods of pandemic, options be made available to help impacted companies recover and enhance their operations. One industry that has encountered this issue and has had to overcome substantial obstacles is ecotourism centres. In the first part of this study, we offer several valuable and realistic action strategies for ecotourism centres. Tourism professionals, faculty members, executives, proprietors, and some staff from eco-tourism centres got together for brainstorming meetings to come up with implementation plans. The stated action plans are prioritised based on four factors. One MCDM approach, known as Multi-Attributive Border Approximation area Comparison (MABAC), uses distance and area-based computing algorithms to systematically represent a complicated choice. In this study, we suggest a bipolar neutrosophic MABAC that incorporates the three possible memberships truth, indeterminate, and false into a single set. Using a bipolar neutrosophic language scale, a panel of specialists was asked to rate the outcome values of requirements and options. The major output of the suggested approach is the distances of options from the Border Approximation Area of bipolar neutrosophic MABAC.