Abstract
Members of the group decision-making often interact before voting, and tend to be influenced by people they communicate with. Such connections often comprise a social network and can be analyzed using the theory and method of complex network. Thus, we defined the ability of change the initial inclination of neighbor-voters as the Recessive Power, and proposed a binary voting power measure model of the decision-maker’s Recessive Power. The proposed method considered the knowledge level, individual influence and self-confidence level, and the interaction of viewpoints based on the social relationship network. Finally, a case analysis was described to demonstrate the application and effectiveness of the proposed method.
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Acknowledgements
We would like to thank the National Natural Science Funds of China (Project No. 71471123; 71571126), and the Fundamental Research Funds for the Central Universities (Project No.skqy201621; skgt201502) for their support during the research of the paper.
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Shi, R., Guo, C., Gu, X., Liu, Y. (2019). A Binary Voting Power Measure Method Based on Social Network and View Interaction. In: Xu, J., Cooke, F., Gen, M., Ahmed, S. (eds) Proceedings of the Twelfth International Conference on Management Science and Engineering Management. ICMSEM 2018. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-93351-1_12
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DOI: https://doi.org/10.1007/978-3-319-93351-1_12
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