Research Article
Research on Evaluation Model of Social Network Information Management Based on Asymmetric Fuzzy Algorithm
@INPROCEEDINGS{10.1007/978-3-030-94551-0_42, author={yi-huo Jiang and Wen-bing Jiang and Hong-liang Ni}, title={Research on Evaluation Model of Social Network Information Management Based on Asymmetric Fuzzy Algorithm}, proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part I}, proceedings_a={ADHIP}, year={2022}, month={1}, keywords={Asymmetric fuzzy algorithm Social network information management Evaluation model Analytic hierarchy process MIS safety level}, doi={10.1007/978-3-030-94551-0_42} }- yi-huo Jiang
Wen-bing Jiang
Hong-liang Ni
Year: 2022
Research on Evaluation Model of Social Network Information Management Based on Asymmetric Fuzzy Algorithm
ADHIP
Springer
DOI: 10.1007/978-3-030-94551-0_42
Abstract
The existing evaluation model of the index system and the weight of each index is not perfect, leading to the final evaluation result is not ideal. Therefore, the evaluation model of social network information management based on asymmetric fuzzy algorithm is established. Based on the theory of analytic hierarchy process (AHP), by comparing two indexes of the same level, the judgment matrix is constructed, and the weights of indexes of different levels are obtained. On this basis, the process of determining the security level of MIS by using fuzzy asymmetric closeness degree is discussed, and the specific steps of system security early warning evaluation are given. The practical application of the evaluation model shows that the social network information management system developed by the enterprise is generally satisfactory, especially in the aspect of performance level index. For the independent business system and special business system put into use in the early stage of the company, the development level and performance level of the integrated social network information management system are satisfactory. On the other hand, the technical performance, system characteristics, operation efficiency and operation use of the system need to be improved.
