A fuzzy DRBFNN-based information security risk assessment method in improving the efficiency of urban development

Abstract

<abstract> <p>The rapid development of urban informatization is an important way for cities to achieve a higher pattern, but the accompanying information security problem become a major challenge restricting the efficiency of urban development. Therefore, effective identification and assessment of information security risks has become a key factor to improve the efficiency of urban development. In this paper, an information security risk assessment method based on fuzzy theory and neural network technology is proposed to help identify and solve the information security problem in the development of urban informatization. Combined with the theory of information ecology, this method establishes an improved fuzzy neural network model from four aspects by using fuzzy theory, neural network model and DEMATEL method, and then constructs the information security risk assessment system of smart city. According to this method, this paper analyzed 25 smart cities in China, and provided suggestions and guidance for information security control in the process of urban informatization construction.</p> </abstract>

Solution for Convergence Problem in DEMATEL Method: DEMATEL of Finite Sum of Influences

“…It is especially useful in analyzing the causeand-effect relationships between factors of the system and also to find the critical factors of a system [10]. DEMATEL has received a great deal of attention, and it is a widely used method in various fields, such as engineering [11,12], management sciences [13,14], medicine [15], COVID-19 [16][17][18], energy [19,20], urbanization [21,22], ecology [23,24], and others. It is also one of suitable methods to deal with the degree of importance of evaluation factors and to determine the cause-effect relationships between factors [25].…”