A structure for object-oriented database queries using fuzzification of XML tags and by using ordered weighted average method to calculate the objects’ membership degree

Any real world activity deals with a series of imprecise data. Managing this type of data using classic database systems leads to a tremendous loss of knowledge, and this issue necessitates the use of advanced database modeling techniques. Applying fuzzy theory and modeling to classic databases can be a basis for intelligent information processing. In recent years, XML has become a very important standard language and structure especially for exchanging and displaying web-based information. Many researches have been performed to assess and expand the XML and imprecise data literature, but many few have assessed the concept of imprecise data within XML. In this study, fuzzy logic is merged into XML concept to reach a suitable solution for object-oriented database queries. By combining SQL and XML we can provide an independent language and database for storing and retrieving queries. This paper examines the queries in two forms of simple and complex queries. In complex queries, the focus is more on conjunctive queries. These queries are then expressed with fuzzy XML tags. The results of this paper show that the proposed method is able to support fuzzy queries with hypertext markup language.