Title | ||
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Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems. |
Abstract | ||
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•A consensus method via penalty functions for decision making in ensembles of fuzzy rule-based classification systems is introduced.•Overlap indices are built using overlap functions.•A method for constructing confidence and support measures from overlap indices is presented.•A new fuzzy rule mechanism is proposed, considering different overlap indices, which generalizes the classical methods.•An example of a generation of fuzzy rule-based ensembles and the decision making by consensus via penalty functions is presented. |
Year | DOI | Venue |
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2018 | 10.1016/j.asoc.2017.05.050 | Applied Soft Computing |
Keywords | Field | DocType |
Fuzzy rule-based classification system,Aggregation function,Penalty function,Overlap function,Overlap index,Confidence and support measures | Certainty,Associative property,Generalization,Fuzzy set,Association rule learning,Artificial intelligence,Mathematics,Machine learning,Penalty method,Fuzzy rule | Journal |
Volume | ISSN | Citations |
67 | 1568-4946 | 16 |
PageRank | References | Authors |
0.51 | 36 | 8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mikel Elkano | 1 | 89 | 7.82 |
Mikel Galar | 2 | 1003 | 40.90 |
José Antonio Sanz | 3 | 429 | 23.40 |
Paula F. Schiavo | 4 | 16 | 0.51 |
Sidnei F. Pereira Jr. | 5 | 16 | 0.51 |
Graçaliz Pereira Dimuro | 6 | 667 | 43.93 |
Eduardo N. Borges | 7 | 32 | 4.80 |
Humberto Bustince | 8 | 1938 | 134.10 |