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Issue title: Ethical Computational Intelligence for Cyber Market
Guest editors: Oscar Sanjuán Martínez, Giuseppe Fenza and Ruben Gonzalez Crespo
Article type: Research Article
Authors: Jiang, Sai; *
Affiliations: Wenzhou Business College, Wenzhou Zhejiang, China
Correspondence: [*] Corresponding author. Sai Jiang, Wenzhou Business College, Wenzhou Zhejiang 325000, China. E-mail: [email protected].
Abstract: With the rapid development of artificial intelligence and big data technology, the traditional audit method has been constantly impacted by big data. In the era of big data, enterprises actively explore and build a financial sharing service model, and through this model, build audit methods based on big data. In this paper, based on the financial sharing service model, we elaborate the preprocessing process of big data collection, clarity and storage, and build the simulation process framework of big data audit under the service model. Evaluation model is developed based on fuzzy analytic hierarchy process (AHP) and methodology for order estimation by similarity of solution. Finally, on the basis of the implementation process framework, the specific content of each link of big data audit is briefly given. Under the financial sharing service mode, it provides theoretical guidance and practical significance for the implementation of big data audit
Keywords: Financial sharing services, artificial intelligence (AI), big data audit, data processing, process framework, fuzzy analytic hierarchy
DOI: 10.3233/JIFS-189646
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 8237-8246, 2021
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