Pal, Sankar K. ; Basak, Jayanta ; De, Rajat K. (1998) Fuzzy feature evaluation index and connectionist realization Information Sciences, 105 (1-4). pp. 173-188. ISSN 0020-0255
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Official URL: http://linkinghub.elsevier.com/retrieve/pii/S00200...
Related URL: http://dx.doi.org/10.1016/S0020-0255(97)10023-8
Abstract
A new feature 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 demonstrated on speech and Iris data.
Item Type: | Article |
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Source: | Copyright of this article belongs to Elsevier Science. |
ID Code: | 26117 |
Deposited On: | 06 Dec 2010 13:04 |
Last Modified: | 17 May 2016 09:27 |
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