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In this paper we are presenting the extension of the Fuzzy Possibilistic C-Means (FPCM) algorithm using Type-2 Fuzzy Logic techniques, with the goal of improving the performance of this algorithm. We also performed the comparison of this proposed algorithm against the Interval Type-2 Fuzzy C-means (IT2FCM) algorithm to observe if the proposed approach performs better than this algorithm. The proposed...
This paper presents a new validation index for the Fuzzy C-Means algorithm, which is composed of two metrics, the modified partition entropy index and the sum of the distances between the means of the fuzzy partitions. The modified partition entropy represents the variation of the data in clusters of the dataset, and the sum of the distances between the means of the fuzzy partition represents the...
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