Obtaining Complex Linguistic Data Rules From Decision Information System

Generally, in real Decision Information System (DIS), attributes´ values of objects are continuous numerical. Numerical values are too fine to directly obtain knowledge or decision rules which are expressed by natural language. In this paper, based on membership functions of fuzzy linguistic, extracting linguistic decision rules from DIS is discussed. In order to obtain complex linguistic decision rules, an aggregation operator for linguistic terms is proposed, the operator can be used to obtain complex linguistic decision rules. Iris Plant data is used to show our method of extracting simple (or complex) linguistic decision rules throughout this paper