A fuzzy classification using a Type-2 fuzzy model in social networks
| Main Authors: | Bastani, Susan, Naderipour, Mansoureh, Fazel Zarandi, Mohammad, Turksen, Burhan |
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| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3985246 |
Daftar Isi:
- In this paper, we study a type-2 fuzzy classification method. Granular computing can help us to model the relationships between human-based system and social sciences in this field. The links in a social network often reflect social relationships among users. In this work, we investigate a classification identifying the relationships among social network users based on certain social network property, granular computing approach and Type 2 fuzzy logic. We evaluate our approach on large scale real-world data from Renren network, showing that the accuracy of the prediction of our classification algorithm is higher than the type 1 fuzzy analysis and the crisp approach.