Title: Mobile payment risk prediction of communication operators under new business model

Authors: Xiao-ying Shi

Addresses: School of Computer Engineering, Xi'an Aeronautical Polytechnic Institute, Xi'an 710089, China

Abstract: In order to overcome the problems of low precision and high energy consumption existing in traditional methods, this paper studies the risk prediction of mobile payment of communication operators under the new business model. In this paper, the expert evaluation method is used to establish the mobile payment risk prediction index system of communication operators under the new business model. The analytic hierarchy process is used to calculate the weight of the prediction index through the structure of hierarchy, the construction of judgment matrix, the calculation of weight vector, the consistency test and the calculation of combined weight vector. The fuzzy comprehensive evaluation method is used to build the mobile payment risk prediction model. The prediction accuracy of the proposed method is always higher than 97%, the total CPU consumption is 34.64%, and the memory utilisation is 12.36%, which has high prediction accuracy and low prediction energy consumption.

Keywords: new business model; communication operator; mobile payment risk; prediction model.

DOI: 10.1504/IJITM.2022.123400

International Journal of Information Technology and Management, 2022 Vol.21 No.2/3, pp.185 - 199

Received: 11 Dec 2019
Accepted: 12 May 2020
Published online: 20 Jun 2022 *

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