Classifying demonetization impacts using max-min fuzzy similarity method

A fuzzy set is a set containing elements that have a varying degree of membership in the set. In this paper, we are developing a fuzzy classifier model for demonetization impact in a specific region of south India using Max-Min fuzzy similarity method. A procedure is created to classify the regions according to the equivalence relation of fuzzy set theory. The obtained experimental results are encouraging to derive a like-minded people among the region. In this model, our classifier model describes the probability of inconvenience due to the withdrawal of money limit and the type of family such as rich, middle and poor class people suffered.