Adaptive Behavior of Perceptual Information Processing

Atsushi Inoue and Anca L. Ralescu

A robust method of intelligent information processing with respect to user’s perception of data, named Perceptual Information Processing (PIP), is being studied. This method uses fuzzy sets as the representation of user perceptions and a soft computing method called Mass Assignment Theory (MAT) the computational core to manage consistencies between histograms of actual data and the fuzzy sets. This paper describes PIP’s adaptive behavior such that user perception is reinforced as it is applied to recognize a data set.

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