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Open AccessArticle

Selecting the Low-Carbon Tourism Destination: Based on Pythagorean Fuzzy Taxonomy Method

1
School of Business, Sichuan Normal University, Chengdu 610101, China
2
Department of Finance, School of Economics and Business Administration, Chongqing University, Chongqing 400044, China
3
School of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160, China
4
School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China
*
Author to whom correspondence should be addressed.
Mathematics 2020, 8(5), 832; https://doi.org/10.3390/math8050832
Received: 22 April 2020 / Revised: 15 May 2020 / Accepted: 18 May 2020 / Published: 21 May 2020
Low-carbon tourism plays the increasingly significant role in carbon emission reduction and natural environmental protection. The choice of low-carbon tourist destination (LCTD) often involves the multiple attributes or criteria and can be regarded as the corresponding multiple attribute group decision making (MAGDM) issues. Since the Pythagorean fuzzy sets (PFSs) could well depict uncertain information or fuzzy information and cope with the LCTD selection, thus this essay develops a framework to tackle such MAGDM issues under the Pythagorean fuzzy environment. In this essay, due to few methods can compare with different alternatives along with their advantages from designed attributes, therefore, to overcome this challenge, the taxonomy method is utilized to integrate with PFSs. What’s more, the entropy method is also utilized to determine the attribute weights. Eventually, an application related to LCTD selection and some comparative analysis have been given to demonstrate the superiority of the designed method. The results illustrate that the designed framework is useful for identifying optimal tourist destination among the potential tourist destinations. View Full-Text
Keywords: multiple attribute group decision making (MAGDM); Pythagorean fuzzy sets (PFSs); information entropy; Taxonomy method; low-carbon tourist destination selection multiple attribute group decision making (MAGDM); Pythagorean fuzzy sets (PFSs); information entropy; Taxonomy method; low-carbon tourist destination selection
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Wei, G.; Tang, Y.; Zhao, M.; Lin, R.; Wu, J. Selecting the Low-Carbon Tourism Destination: Based on Pythagorean Fuzzy Taxonomy Method. Mathematics 2020, 8, 832.

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