Abstract | ||
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Based on the strong idempotency of aggregation operators, quantitative weights are incorporated into the fusion process. Our general method is compared with some previous specific cases. More details about weighted aggregation based on some penalty function is given. Further, weighted integral based aggregation linked to quantifier-based fuzzy measures is investigated, especially weighted OWA operators. Several examples are included. |
Year | DOI | Venue |
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2004 | 10.1109/TFUZZ.2003.822679 | IEEE T. Fuzzy Systems |
Keywords | Field | DocType |
quantifier-based fuzzy measure,previous specific case,owa operator,aggregation operator,quantitative weight,strong idempotency,general method,weighted aggregation,penalty function,fusion process,choquet integral,triangular norm,fuzzy set theory,functional equations,indexing terms | Mathematical Operators,Fuzzy set,Operator (computer programming),Artificial intelligence,Mathematical optimization,Fuzzy measure theory,Fuzzy logic,Algorithm,Ordered weighted averaging aggregation operator,Functional equation,Machine learning,Mathematics,Penalty method | Journal |
Volume | Issue | ISSN |
12 | 1 | 1063-6706 |
Citations | PageRank | References |
55 | 3.39 | 7 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
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T. Calvo | 1 | 169 | 13.72 |
Radko Mesiar | 2 | 3778 | 472.41 |
Ronald R. Yager | 3 | 986 | 206.03 |