Interval-valued Attributes Reduction Target Information System

Rough set theory and fuzzy set theory is used to solve the problem of uncertainty and fuzziness of two kinds of important mathematical method.Both theory is applied in this article,research on the advantage-equivalence relation interval value target attribute reduction of information system and research on the variable precision dominance relation rules extraction problem of interval-valued fuzzy objective information systems.The main work is as follows:1.The equivalent relation in the advantage of interval value target information system,describes the distribution reduction and approximate reduction,and the concept of distribution reduction,maximum distribution reduction,and discusses the relationship between their respective,and give the judgement theorems and discernibility matrix between them,to get the advantage-under the equivalence relation of interval value target the calculation method of attribute reduction of information system.2.In the relation of variable precision dominance under the interval valued information system,combining the fuzzy set theory,attribute reduction is given the relationship between fuzzy interval objective information systems;in the rules extraction,using the advantages of rough set membership function,may each attribute reduction obtained interval fuzzy objective information system in different decision classes the value to get the decision rules required,so the decision rule is more effective,more objective.