Abstract | ||
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•With data mining’s point of view, we propose a novel rough fuzzy sets of fuzzy information systems.•Based on δ-clusters, (γ,δ)-rough fuzzy sets inherit the ability that predict it with growth trend.•We use (γ,δ)-rough fuzzy set theory to predictive analysis.•The randomness of the algorithm is analyzed. |
Year | DOI | Venue |
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2020 | 10.1016/j.eswa.2020.113644 | Expert Systems with Applications |
Keywords | DocType | Volume |
Fuzzy information system (FIS),δ-Cluster,(γ,δ)-Rough fuzzy set ((γ,δ)-RFS),TPELDTP,Decision making | Journal | 161 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bin Yu | 1 | 50 | 27.48 |
Mingjie Cai | 2 | 110 | 6.49 |
Jianhua Dai | 3 | 896 | 51.62 |
Qingguo Li | 4 | 435 | 44.53 |