Knowledge Discovery And Decision Making Based On Factor Space Theory

Knowledge representation is one of the most important contents in artificial intelli-gence.Factor analysis table in factor space theory is a special and important knowledge representation system.Decision theory in factor space is shaped after further studies on decision-making table on the basis of knowledge discover and factor operation in factor space which have been given.The approximate sets are used to describe the indefinable set and result in the definition of inner set,outer set and boundary set.Based on the decision-making table,the decision rules are defined and then there are two reduction methods of the decision rules,which keep the zone of relative internal set.For the problem of uncertain decision rules and high risk in the traditional two-way decision;three-way decision and the sequential processes based on factor space are proposed to improve the decision-making methods in factor space.