Interval Valued Fuzzy Number Matrices on Psoriasis

Abstract

Psoriasis is common, over term diseases with no remedy. Datasets that are available for psoriasis describe information about the patients suffering with psoriasis diseases and without psoriasis diseases along with their symptoms like: Swollen joints, irritated skin spots, whitish scales on the red patches, Dry skin that may crack, burning sensations surrounding patches. In this paper we discuss various algorithm approaches of interval valued fuzzy number matrix that have been utilized for psoriasis diseases prediction.

The principle goal of this paper is to classify information and assist the consumer in extracting use complete statistics from information and easily identify an appropriate set of rules for correct predictive version from it. In addition, we prolonged our method inside the quarter addition and multiplication factors of interval valued fuzzy number matrix based on membership and non-membership function. Finally, we presented a decision-making problem based on one of the operations of Interval Valued Fuzzy Matrix.