Paper Info
Title
Hybrid Som And Fuzzy Integral Frameworks For Fuzzy Classification
Abstract
The construction of fuzzy measures in the fuzzy integral, which is considered to be the crucial point for the extended utilization of this fusion methodology, is attained in the here presented paper through a Self-Organizing Map (SOM). This fact can improve, the performance in the fuzzy measure assessment specially in high-dimensional feature spaces. Different methodologies for knowledge discovery related to the SOM paradigm are taken into consideration in order to achieve the assessment of the fuzzy measure coefficients. Furthermore an overview of the utilization of the fuzzy integral in classification problems is given. Finally two hybrid frameworks considering the SOM and the fuzzy integral are presented and used for fuzzy classification.
Year
DOI
Venue
2003
10.1109/FUZZ.2003.1206539
PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2
Keywords
Field
DocType
feature space,fuzzy set theory,fuzzy systems,inspection,image analysis,security,fuzzy classification,knowledge discovery,integral equations,self organizing map
Data mining,Neuro-fuzzy,Defuzzification,Fuzzy classification,Fuzzy set operations,Computer science,Fuzzy cognitive map,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy associative matrix,Machine learning
Conference
ISSN
Citations 
PageRank 
1098-7584
3
0.41
References 
Authors
0
1
Name
Order
Citations
PageRank
Aureli Soria-Frisch18311.13