Abstract

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

摘要

发展低碳旅游不仅可以改善生态环境，还可以促进我国经济的发展。为了选择一个理想的低碳旅游目的地，我们需要同时考虑多个相互冲突和不相称的标准。然而，传统的决策方法，如层次分析法和德尔菲法，无法对决策者的复杂认知进行建模。对此，本文提出了一种新的多准则决策方法，称为基于热力学特征的方法，以帮助决策者选择可选的低碳旅游目的地。q-rung orthopair模糊集（q-ROFS）作为最近提出的信息表示模型，用于表达决策者的不精确信息。我们首先介绍了 q-ROFS 的新距离度量，并详细研究了它们的理想特性。之后，从能量、火用和熵等方面结合定量和定性决策信息，开发了一种基于热力学特征的方法。最后，以低碳旅游目的地选择为例，说明所提方法的适用性和优越性。