Prediction Of Derm Sickness Using Naïve Bayes Classification With Bipolar Fuzzylogic Set

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Dr.Shaji. K. A. Theodore, Dr. G. Revathy

Résumé

In recent years there are wide range of skin diseases especially Pores and derm sicknesses. Enlarged pores are depressions in the facial skin surface that contains one or more openings to the ducts carrying sweat and oil from their respective glands and sebaceous glands. It  occurs in one-of-a-kind patterns because  of wide ranges of things  inclusive of climatic change, pollutants, abnormal work change timings, hygienic requirements, age, degree of fitness care and plenty other more.. Those sicknesses cause a number of distress in human health. In this paper we use a novel method to discover the derm sickness occurs in which age group by the method of bipolar fuzzy set and predict the accuracy using Bayesian classifiers. The result accuracy is more than 93%.

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