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Issue title: Special Section: Fuzzy Decision Making and Applications in Knowledge Management
Guest editors: Justin Zhang
Article type: Research Article
Authors: Zhao, Tian-Rong; *
Affiliations: Economics & Management School, Chongqing Normal University, Chongqing, China
Correspondence: [*] Corresponding author. Tian-Rong Zhao, Economics & Management School, Chongqing Normal University, Chongqing, 401331, China. Tel./Fax: +86-02365621385; E-mail: [email protected].
Abstract: The advent of the era of web 3.0 brought earth-shaking changes for people’s life, big data has brought unprecedented convenience, at the same time also play s a great role on the development of the economy. The development of the internet technology can represent the technical level of a country, and for now it has infiltrated into all social aspects, playing an important role. The combination of the Internet technology and the finance has brought enormous shock to the traditional financial industry, in addition, the consequent internet financial product becomes a powerful competition for traditional financial products. Traditional financial institutions are taking measures for a new development in internet era, research on the pattern, development situation and income level of this field has increasingly become the focus of academic circles. In this paper, we investigate the multiple attribute decision making problems for evaluating the benefit risk and performance of internet financial product with triangular fuzzy information. Then, we have developed the triangular fuzzy induced Einstein correlated geometric (TFIECG) operator. We have exploited the TFIECG operator to multiple attribute decision making for evaluating the benefit risk and performance of internet financial product with triangular fuzzy information. Finally, an example is given to prove the effectiveness of the proposed approach.
Keywords: Multiple attribute decision making, triangular fuzzy number, benefit risk and performance, internet financial product
DOI: 10.3233/JIFS-179244
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 2, pp. 1819-1826, 2019
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