Novel distance measures of hesitant fuzzy sets and their applications in clustering analysis
Abstract Distance and similarity measures are very important in clustering, pattern recognition, decision-making and other scientific fields. For the existing hesitant fuzzy distance, most of them do not consider the hesitance degree. Even if the hesitance degree is considered, only the degree of di...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
SpringerOpen
2022-12-01
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| Schriftenreihe: | Journal of Engineering and Applied Science |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1186/s44147-022-00095-3 |
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