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Low-carbon tourism destination selection by a thermodynamic feature-based method
Journal of the Operational Research Society ( IF 2.7 ) Pub Date : 2021-06-21 , DOI: 10.1080/01605682.2021.1908862
Cheng Zhang 1 , Huchang Liao 2 , Li Luo 2 , Zeshui Xu 2
Affiliation  

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.



中文翻译:

基于热力学特征的低碳旅游目的地选择

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。

更新日期:2021-06-21
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