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A Fuzzy Weights Decision Method based on Degree of Contribution for Recognition of Insect Footprints

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2009, 14(12), pp.55-62
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

신복숙 1 CHA,EUI-YOUNG 1 Woo, Young Woon 2

1부산대학교
2동의대학교

Accredited

ABSTRACT

This paper proposes a decision method of fuzzy weights by utilizing degrees of contribution in order to classify insect footprint patterns having difficulties to classify species clearly. Insect footprints revealed delicately in the form of scattered spots since they are very small. Therefore it is not easy to define shape of footprints unlike other species, and there are lots of noises in the footprint patterns so that it is difficult to distinguish those from correct data. For these reasons, the extracted feature set has obvious feature values with some uncertain feature values, so we estimate weights according to degrees of contribution. If the one of feature values has distinct difference enough to decide a class among other classes, high weight is assigned to make classification. A calculated weight determines the membership values by fuzzy functions and objects are classified into the class having a superior value.atu present experimental resultseighrontribution. Iinsect footprints with noises by the proposed method.

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