Paper Info
Title
Novel Regularization for Learning the Fuzzy Choquet Integral With Limited Training Data
Abstract
Fuzzy integrals (FIs) are powerful aggregation operators that fuse information from multiple sources. The aggregation is parameterized using a fuzzy measure (FM), which encodes the worths of all subsets of sources. Since the FI is defined with respect to an FM, much consideration must be given to defining the FM. However, in practice this is a difficult task—the number of values in an FM scales as...
Year
DOI
Venue
2021
10.1109/TFUZZ.2020.3009722
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Frequency modulation,Lattices,Training data,Kernel,Data visualization,Density measurement,Quadratic programming
Journal
29
Issue
ISSN
Citations 
10
1063-6706
0
PageRank 
References 
Authors
0.34
22
5
Name
Order
Citations
PageRank
Siva Krishna Kakula100.34
Anthony J. Pinar2213.82
muhammad aminul islam3145.66
Derek T. Anderson415025.17
Timothy C. Havens59713.53