Low-carbon tourism destination selection by a thermodynamic feature-based method

Developing low-carbon tourism can not only improve the ecological environment, but also promote development of economy in China. To select a desirable destination, we need to consider multiple conflicting and incommensurate criteria, simultaneously. However, traditional decision-making methods such as analytical hierarchy process Delphi fail model complex cognition decision makers. In this regard, article proposes novel multi-criteria making method called thermodynamic feature-based aid makers optional destination. The q-rung orthopair fuzzy set (q-ROFS), recently proposed information representation model, is used express imprecise We first introduce new distance measures q-ROFSs investigate their properties detail. Afterwards, developed from aspects energy, exergy entropy alternatives integrating both quantitative qualitative information. Finally, case study concerning selection destination given illustrate applicability superiority method.