Devi, B Bharathi and Sarma, VVS (1985) Estimation of fuzzy memberships from histograms. In: Information Sciences, 35 (1). pp. 43-59.
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Based on the conclusions drawn in the bijective transformation between possibility and probability, a method is proposed to estimate the fuzzy membership function for pattern recognition purposes. A rational function approximation to the probability density function is obtained from the histogram of a finite (and sometimes very small) number of samples. This function is normalized such that the highest ordinate is one. The parameters representing the rational function are used for classifying the pattern samples based on a max-min decision rule. The method is illustrated with examples.
|Item Type:||Journal Article|
|Additional Information:||The copyright of this article belongs to Elsevier Science.|
|Department/Centre:||Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)|
|Date Deposited:||11 Aug 2009 08:23|
|Last Modified:||19 Sep 2010 05:38|
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