A feature ranking technique based on interclass separability for fuzzy modeling

Domonkos Tikk, Kok Wai Wong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a modified feature ranking method based on interclass separability for fuzzy modeling. Existing feature selection/ranking techniques are mostly suitable for classification problems. These techniques result in a ranking of the input feature or variables. Our modification exploits an arbitrary fuzzy clustering of the model output data. Using these output clusters, similar feature ranking methods can be used as for classification, where the membership in a cluster (or class) will no longer be crisp, but a fuzzy value determined by the clustering. We propose an iterative algorithm to determine the feature ranking by means of different criterion functions. We examined the proposed method and the criterion functions through a comparative analysis.

Original languageEnglish
Title of host publicationICCC 2007 - 5th IEEE International Conference on Computational Cybernetics, Proceedings
Pages251-256
Number of pages6
DOIs
Publication statusPublished - Dec 1 2007
EventICCC 2007 - 5th IEEE International Conference on Computational Cybernetics - Gammarth, Tunisia
Duration: Oct 19 2007Oct 21 2007

Publication series

NameICCC 2007 - 5th IEEE International Conference on Computational Cybernetics, Proceedings

Other

OtherICCC 2007 - 5th IEEE International Conference on Computational Cybernetics
CountryTunisia
CityGammarth
Period10/19/0710/21/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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  • Cite this

    Tikk, D., & Wong, K. W. (2007). A feature ranking technique based on interclass separability for fuzzy modeling. In ICCC 2007 - 5th IEEE International Conference on Computational Cybernetics, Proceedings (pp. 251-256). [4402044] (ICCC 2007 - 5th IEEE International Conference on Computational Cybernetics, Proceedings). https://doi.org/10.1109/ICCCYB.2007.4402044