Name
Abstract | ||
|---|---|---|
A new t~ature evaluation index based on fuzzy set theory and a connectionist model for its evaluation are provided. A concept of flexible membership function incorporating weighting factors, is introduced which makes the modeling of the class structures more appropriate. A neuro-fuzzy algorithm is developed for determining the optimum weighting coefficients representing the feature importance. The overall importance of the features is evaluated both individually and in a group considering their dependence as well as independence. Effectiveness of the algorithms along with comparison is dem- onstrated on speech and Iris data. © 1998 Elsevier Science Inc. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1016/S0020-0255(97)10023-8 | Inf. Sci. |
Keywords | Field | DocType |
connectionist realization,fuzzy feature evaluation index,membership function,neuro fuzzy,fuzzy set theory,indexation | Data mining,Fuzzy classification,Fuzzy set operations,Fuzzy mathematics,Fuzzy set,Artificial intelligence,Fuzzy number,Neuro-fuzzy,Defuzzification,Pattern recognition,Membership function,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
105 | 1-4 | 0020-0255 |
Citations | PageRank | References |
6 | 0.79 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sankar K. Pal | 1 | 6410 | 627.31 |
| Jayanta Basak | 2 | 372 | 32.68 |
| Rajat K De | 3 | 352 | 40.44 |