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| Title: | INTELLIGENT QUERIES BASED ON FUZZY SET THEORY AND SQL | |
| DOI No: | 10.1142/9789812709677_0203 | |
| Source: | INFORMATION SCIENCES 2007 (pp 1426-1432) | |
| Author(s): | TIEN-CHIN WANG
Department of Information Management, I-Shou University, Kaohsiung, Taiwan HSIEN-DA LEE Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan CHUN-MING CHEN Department of Marketing and Distribution Management, Fortune Institute of Technology, Kaohsiung, Taiwan |
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| Abstract: | As professor Zadeh first introduced fuzzy theory, Fuzzy theory has been applied to many fields. In many application fields, fuzzy query is capable of processing imprecise and ambiguity data. The development of fuzzy query can be used on traditional databases or fuzzy databases. Many researchers develop many techniques to represent data schema. However, it increases difficulties to handle a fuzzy query. In this research, we present a fuzzy language architecture based on SQL and Fuzzy sets. This architecture can effectively reduced complexity of processing data and maintaining a database. It also can balance the variety of data and system performance. By applying fuzzy logic and SQL to the evaluation of records, we significantly improve the robustness of database query operations. | |
| Full Text: | View full text in PDF format (122KB) | |
| TOC: | Back to Table of Contents | |
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