Modified MARCOS method for industrial competitiveness evaluation of regional cultural tourism with probabilistic hesitant fuzzy information

Author:

Liu Qian1,Hou Jundan2,Dong Qi3

Affiliation:

1. History, Culture and Law Department, Tangshan Normal University, Tangshan, Hebei, China

2. Resource Management Department, Tangshan Normal University, Tangshan, Hebei, China

3. Computer Science Department, Tangshan Normal University, Tangshan, Hebei, China

Abstract

Tourism is the most culturally loaded industry. In the new era, China’s tourism industry is developing rapidly and the public’s need for diversified culture is growing. The integration of culture and tourism, the development of new forms of cultural tourism industry, is also an important means to enhance the country’s cultural soft power, promote the development of China’s tourism culture, and solve the contradiction between cultural supply and demand. The industrial competitiveness evaluation of regional cultural tourism is looked as the multiple attribute group decision-making (MAGDM) problem. This paper proposed extended MARCOS method in probabilistic hesitant fuzzy sets (PHFSs) circumstance. Meanwhile, the CRITIC method is used to evaluate the criterion weights. Then we give a case study for industrial competitiveness evaluation of regional cultural tourism to measure the novel model’s validity.

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

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