Many functionals have been proposed for validation of partitions of object data produced by the fuzzy c-means (FCM) clustering algorithm. We examine the role a subtle but important parameter-theâ€¦ (More)

In 1997, we proposed the fuzzy-possibilistic c-means (FPCM) model and algorithm that generated both membership and typicality values when clustering unlabeled data. FPCM constrains the typicalityâ€¦ (More)

-Many image segmentation techniques are available in the literature. Some of these techniques use only the gray level histogram, some use spatial details while others use fuzzy set theoreticâ€¦ (More)

We review two clustering algorithms (hard c-means and single linkage) and three indexes of crisp cluster validity (Hubert's statistics, the Davies-Bouldin index, and Dunn's index). We illustrate twoâ€¦ (More)

We propose a simple but robust model independent self-tuning scheme for fuzzy logic controllers (FLCâ€™s ). Here, the output scaling factor (SF) is adjusted on-line by fuzzy rules according to theâ€¦ (More)

This paper presents an online feature selection algorithm using genetic programming (GP). The proposed GP methodology simultaneously selects a good subset of features and constructs a classifierâ€¦ (More)

Shannonâ€™s definition of entropy is critically examined and a new definition of classical entropy based on the exponential behavior of information-gain is proposed along with its justification. Theâ€¦ (More)