Title
Fuzzy feature evaluation index and connectionist realization — II: theorectical analysis
Abstract
The present article deals with a theoretical analysis of our earlier investigation [1] where we developed a neuro-fuzzy model for feature evaluation. This includes derivation of a fixed upper bound and a varying lower bound of the feature evaluation index. The monotonic increasing behavior of the feature evaluation index with respect to the lower bound is established. A relation of the evaluation index (lower bound) with interclass distance and weighting coefficient is also derived. (C) 1998 Elsevier Science Inc. All rights reserved.
Year
DOI
Venue
1998
10.1016/S0020-0255(97)10031-7
Inf. Sci.
Keywords
Field
DocType
connectionist realization,theorectical analysis,fuzzy feature evaluation index,indexation,upper bound,lower bound,neuro fuzzy
Monotonic function,Weighting,Upper and lower bounds,Fuzzy logic,Feature evaluation,Artificial intelligence,Mathematics,Connectionism,Machine learning
Journal
Volume
Issue
ISSN
111
1-4
0020-0255
Citations 
PageRank 
References 
4
0.54
2
Authors
3
Name
Order
Citations
PageRank
Jayanta Basak137232.68
Rajat K De235240.44
Sankar K. Pal36410627.31