Title
Quantitative weights and aggregation
Abstract
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
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
T. Calvo116913.72
Radko Mesiar23778472.41
Ronald R. Yager3986206.03