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Fuzzy non-reducible descriptors

Valev V., Asaithambi A.

Machine Graphics and Vision

2003

Vol. 12, No. 3

353-361

We present a model for supervised pattern recognition problems in which the features of patterns are fuzzy numbers. Non-Reducible Descriptors (NRDs) for such problems are obtained through the use of a threshold value, which is calculated based on the distance between patterns defined in a manner similar to Hamming distance between binary sequences. Boolean formulas are used to represent these Fuzzy NRDs. This model is useful in a wide variety of applications, and we illustrate its usefulness with a medical application.