Several Applications And Generization On Rough Sets

Since rough set theory was put forward by Z.Pawlak in 1982,it have attracted a considerable deal of attention. In the research of the inconsistent information system, Ziarko put forward the measure of quality of classification and introduced approximate reducts. Such decision rules would produce a big deviation on a part of objects. One main aim of this paper is to reduce the information system, and form approximate decision rules then. It can ameliorate the deviation. Not only decision tree classifications,but also information systems are incomplete due to the distribution of samples and the tree pruning,which can produce "blind region" during classification.Li Feng introduced the fuzzification of decision tree and proposed an adaptive classification algorithm.Another main aim of this paper is to introduce the idea into information systems.