Applying rough set theory and fuzzy set theory to enterprise reference model classification and retrieval

By applying enterprise reference model to enterprise modeling, model builders can use the successful experience of other similar enterprises, and this accelerates modeling process, and the rapid and successful implementation of ERP can be realized. In order to manage reference model database, establishing a reasonable classification and retrieval system is essential. This paper presents the storage structure and classification and retrieval algorithm of enterprise reference model based on rough set theory and fuzzy set theory. Reference model database uses network storage structure. The model’s attributes can be divided into specific attributes and fuzzy attributes. Through the method of weight auto-learning based on rough set theory, the set of the models which meet the demands of specific attributes can be got; by the way of calculating the similarity degree based on fuzzy set theory, the set of the models that meet the demands of fuzzy attributes can be got; and the wanted model set can be found by calculating the intersection of these two sets. The correctness and effectiveness of this algorithm also be attested though a case.