Statistical analysis is used in traditional data mining techniques. But this analysis is less prone to real world scenario. The latest innovations in technology databases contain imprecise & vague data. In the field of data mining, handling such data is always a tedious task. During important decision making task the use of imprecise data causes the inconsistency & vagueness. In this paper to handle uncertain data in data mining various mathematical models like fuzzy set, soft set, rough set & vague set are projected. Various productive approaches have already renewed the Association rule mining. Comparative study of various models defines the idea for using particular set theory. To deal with commercial management & business decision making problem, for generating profitable patterns here we are trying to explore the concept of different set theory. These are also the main benefits of this paper.

Data mining, Vagueness, uncertainty, fuzzy set, vague set, Gray set, rough set & association rule mining

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