Research Article
Detection of Fuzzy Association Rules by Fuzzy Transforms
Table 1
Schema of a dataset.
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X = is the set of the attributes and is the set of the objects or instances in the dataset. value belonging to the domain of the attribute is called an item and a set of items is called an itemset. An association rule is represented as a directional dependence between sets of attributes in the dataset. It is indicated with an expression of the type ā, where , are sets of attributes. The implication operator means that if all the items in S exist in an object, then all the items in T are also in the object with a high probability [2]. |