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Article type: Research Article
Authors: Sun, Guo-Donga; * | Zhao, Liangb
Affiliations: [a] School of Tourism and Service Management, Chongqing University of Education, Chongqing, China | [b] Business Administration School, University of Science and Technology Liaoning, Anshan, Liaoning, China
Correspondence: [*] Corresponding author: Guo-Dong Sun, School of Tourism and Service Management, Chongqing University of Education, Chongqing, China. Tel./Fax: +86 023 8812 2627; E-mail: [email protected].
Abstract: Tourism industry relies on the regional development, the active regional tourism is a significant feature in the contemporary development of tourism, and it is also an important form of the rise of China’s tourism industry. Because of the enormous benefit has brought by regional tourism, the relevant stakeholders will compete with each other. In the geographical space, it is named the tourism economy of regional competitive. In reality, it has a kind of area, different actors in the region sharing the same tourism brand, and it results an unsustainable development during the tourism resources in the region. In this paper, we study on the developing performance evaluation of tourism economy with intuitionistic fuzzy information. Then, we present the dependent intuitionistic fuzzy weighted Bonferroni mean (DIFWBM) operator, of which the related weights rely on the aggregated intuitionistic fuzzy arguments and is able to lower the effect of unfair arguments on the aggregated results and then apply DIFWBM operator to solve the developing performance evaluation of tourism economy using intuitionistic fuzzy information. In the end, an example for to estimate the developing performance of tourism economy is proposed to testify the proposed method.
Keywords: Intuitionistic fuzzy information, operational laws, dependent intuitionistic fuzzy weighted bonferroni mean (DIFWBM) operator, developing performance, tourism economy
DOI: 10.3233/KES-170369
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 21, no. 4, pp. 257-263, 2017
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