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

Author

Listed:
  • Guiwu Wei

    (School of Business, Sichuan Normal University, Chengdu 610101, China)

  • Yanxin Tang

    (Department of Finance, School of Economics and Business Administration, Chongqing University, Chongqing 400044, China)

  • Mengwei Zhao

    (School of Business, Sichuan Normal University, Chengdu 610101, China)

  • Rui Lin

    (School of Economics and Management, Chongqing University of Arts and Sciences, Chongqing 402160, China)

  • Jiang Wu

    (School of Statistics, Southwestern University of Finance and Economics, Chengdu 611130, China)

Abstract

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.

Suggested Citation

  • Guiwu Wei & Yanxin Tang & Mengwei Zhao & Rui Lin & Jiang Wu, 2020. "Selecting the Low-Carbon Tourism Destination: Based on Pythagorean Fuzzy Taxonomy Method," Mathematics, MDPI, vol. 8(5), pages 1-17, May.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:5:p:832-:d:361044
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    References listed on IDEAS

    as
    1. Ping Yin, 2013. "Low-Carbon Tourism Planning Study: A Theoretical Framework," Springer Books, in: Feng Chen & Yisheng Liu & Guowei Hua (ed.), Ltlgb 2012, edition 127, chapter 0, pages 1069-1075, Springer.
    2. Zha, Jianping & He, Lamei & Liu, Yang & Shao, Yuhong, 2019. "Evaluation on development efficiency of low-carbon tourism economy: A case study of Hubei Province, China," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 47-57.
    3. Cavallaro, Fausto & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Mardani, Abbas, 2019. "Assessment of concentrated solar power (CSP) technologies based on a modified intuitionistic fuzzy topsis and trigonometric entropy weights," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 258-270.
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