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.
Highlights
Since global warming is becoming increasingly serious, the deterioration of the ecological environment has been viewed as a major dilemma for human development
This system can help tourists and others involved choose the optimal tourist destination in a scientific and efficient way; (2) the classical taxonomy method is extended to the PF-taxonomy method which means the taxonomy method can be employed to the Pythagorean fuzzy environment; (3)
In a word, regarding to the above analysis, a novel PF-taxonomy method presented in this essay can be believed that it is able to solve the issue of low-carbon tourist destination (LCTD) selection
Summary
Since global warming is becoming increasingly serious, the deterioration of the ecological environment has been viewed as a major dilemma for human development. Our contributions of this essay are summarized as follows: (1) an assessment system for the LCTD is developed This system can help tourists and others involved choose the optimal tourist destination in a scientific and efficient way; (2) the classical taxonomy method is extended to the PF-taxonomy method which means the taxonomy method can be employed to the Pythagorean fuzzy environment; (3). In a word, regarding to the above analysis, a novel PF-taxonomy method presented in this essay can be believed that it is able to solve the issue of LCTD selection. This novel method adopts the PFSs to express the fuzzy information.
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