| Autor: |
Mei Cai, Yiming Wang, Zaiwu Gong |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
International Journal of Computational Intelligence Systems, Vol 13, Iss 1 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1875-6883 |
| DOI: |
10.2991/ijcis.d.200310.001 |
| Popis: |
With the development of social networking big data, social network group decision-making (SN-GDM) has been widely applied in many fields. This paper focuses on three main components: (1) the determination of the decision makers' (DMs) weights based on different social influence; (2) the anti-deception mechanism; and (3) the persona method. We introduce the TrustRank algorithm and the persona method into SN-GDM. Based on the TrustRank algorithm, both trusted and deceptive DMs in a seed set are artificially identified and given initial static scores to derive the influence of each DM. Additionally, the persona method is introduced to cluster DMs and achieve personalized decision-making. Further, we present a numerical example and comparison to demonstrate the efficiency of the framework in coping with non-socially shared preferences in SN-GDM. As expected, our findings indicate that our framework reduces the influence of deceptive DMs on the decision results. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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