This writing project presents a new approach to implement a fuzzy range query solution for retrieving Extensible Markup Language (XML) data. Ever since XML was introduced, it has become a web standard to describe data on the Internet. The need for performing range query against XML data is growing day by day. Many search service providers are eager to improve their solutions on range query against XML data. The project studies and analyzes the limitations on the current range query solutions. The project also proposes a new solution using fuzzy semantic analysis to quantify XML data so that it can be represented within a range. This is accomplished by applying fuzzy logic algorithm to classify and aggregate XML data based on the semantic closeness. An intuitive web interface is also introduced to aid the user to input fuzzy search criteria. Instead of specifying crisp values in the current solutions, the user can simply drag and drop to indicate fuzzy values. Therefore, it’s more user-friendly and desirable for fuzzy range query
