Title | ||
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Fuzzy feature evaluation index and connectionist realization — II: theorectical analysis |
Abstract | ||
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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 Basak | 1 | 372 | 32.68 |
Rajat K De | 2 | 352 | 40.44 |
Sankar K. Pal | 3 | 6410 | 627.31 |