APPLYING ROUGH SET THEORY AND FUZZY SET THEORYTO ENTERPRISE REFERENCE MODEL CLASSIFICATIONAND RETRIEVAL

摘要

By applying enterprise reference model to enterprisernmodeling, model builders can use the successful experiencernof other similar enterprises, and this accelerates modelingrnprocess, and the rapid and successful implementation of ERPrncan be realized. In order to manage reference model database,rnestablishing a reasonable classification and retrieval system isrnessential. This paper presents the storage structure andrnclassification and retrieval algorithm of enterprise referencernmodel based on rough set theory and fuzzy set theory.rnReference model database uses network storage structure. Thernmodel's attributes can be divided into specific attributes andrnfuzzy attributes. Through the method of weight auto-learningrnbased on rough set theory, the set of the models which meetrnthe demands of specific attributes can be got; by the way ofrncalculating the similarity degree based on fuzzy set theory, thernset of the models that meet the demands of fuzzy attributesrncan be got; and the wanted model set can be found byrncalculating the intersection of these two sets. The correctnessrnand effectiveness of this algorithm also be attested though arncase.