Research on hesitant fuzzy clustering method based on fuzzy matroids
| Autor: | Hui-Min Xiao, Yan-Li Cao, Mei-Qi Wang, Yu-Jie Guo |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
0209 industrial biotechnology 020901 industrial engineering & automation Fuzzy clustering Theoretical computer science Artificial Intelligence Computer science 0202 electrical engineering electronic engineering information engineering General Engineering 020201 artificial intelligence & image processing 02 engineering and technology Matroid Fuzzy logic |
| Zdroj: | Journal of Intelligent & Fuzzy Systems. 40:9031-9039 |
| ISSN: | 1875-8967 1064-1246 |
| DOI: | 10.3233/jifs-201476 |
| Popis: | In this paper, to improve the situation of singleness of selecting results in hesitant fuzzy set decision-making and expand the range of choices for decision makers, we construct a hesitant fuzzy set clustering algorithm combined with fuzzy matroid operation. The algorithm synthesizes the r-cut set, fuzzy shrinking matroids in the fuzzy matroids and the operational properties of the fuzzy derived matroids, the r value also is used to connect the two types of fuzzy matroids to form a clustering algorithm. Finally, we apply the algorithm to the hesitant fuzzy set decision-making of job seekers choosing recruitment websites, each recruitment website as an optional scheme is divided into three categories of excellent to inferior schemes to provide job seekers with ideas and methods for favorably selecting recruitment websites. |
| Databáze: | OpenAIRE |
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