The Research On Rough Set Model Of Centralized Ordered Set-valued Information System

In real life,information systems are often uncertain.The incompleteness and ambiguity of information are important expressions of uncertain information.The value-added information system is an important method to deal with incomplete information.At present,most of the dominant relationships studied by the rough set model are incremental or decremental relations.For the centralized and ordered relationship,directly converting it to an incremental or decreasing relationship is likely to cause original information.Loss,so it is significant to study the ordered set value information system in the rough set model with incomplete information and fuzzy information.In this paper,the centralized ordered set value information system is researched.For the purpose of attribute reduction and rule acquisition,complete rough set models are constructed based on the incomplete and fuzzy information,thus solving the problem caused by information uncertainty.Finally,the model studied in this paper is applied to the customer credit evaluation project of Company A.The results show that the model compensates for the decision blank caused by the lack of data in the early stage of the project and expands the scope of application of the model.The main results of this paper are as follows:1).Rough Set Model under Incomplete and Orderly Disjunction Type Set Value InformationBased on the centralized and orderly disjunction type set value information system,two different centralized and orderly dominant relationships are proposed according to whether the parameters are given,and the corresponding attribute reduction and rule acquisition algorithms are constructed.2).Rough set model under fuzzy centralized ordered set value information systemThe decision attributes of the centralized ordered value decision making system are extended to the fuzzy environment.The fuzzy centralized ordered extraction/coinciding set-valued decision-making system is taken as the research object,and the corresponding attribute reduction and rule acquisition algorithms are proposed to construct.3).Application in customer credit evaluation of company AAccording to the characteristics of A company information system,the original information system is processed and quantified,and the rough set model under incomplete and orderly disjunction type set value information system is applied to attribute reduction and rule acquisition,so as to provide strategic advice for the decision-making of the project.