Application of interval type-2 subsethood neural fuzzy inference system in classification

Classification is ubiquitous in real world applications. Classification problems deal with high amount of uncertainty. Cancer classification has become an important research problem in bio-medical systems. It is needed to distinguish between the relevant and irrelevant information. To segregate the data, many artificial soft computing techniques have been used. Soft computing finds many applications in the field of bio-medical sciences. In this paper, we present application of a type-2 fuzzy-neural evolutionary network IT2SuNFIS [1] in the area of classification. The performance of the network shows its potential to be used in the area of bioinformatics.

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