Abstract
Traditional database systems suffer of rigidity. Use of fuzzy sets has been proposed for solving it. Nevertheless, there is certain resistance to adopt this, due the presumption that it adds undesired costs that worsen the performance and scalability of software systems. RDBMS are rather complex by themselves. Extensions for providing higher facilities, with a permissible performance and good scalability would be appreciated. In this paper, we achieve a formal statistics study of fuzzy querying performance. We considered two querying systems: SQLfi (loose coupling) and PostgreSQLf (tight coupling). Observed times for the later are very reasonable. It shows that it is possible to build high performance fuzzy querying systems.
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Aguilera, A., Cadenas, J.T., Tineo, L. (2012). About the Performance of Fuzzy Querying Systems. In: Herrero, P., Panetto, H., Meersman, R., Dillon, T. (eds) On the Move to Meaningful Internet Systems: OTM 2012 Workshops. OTM 2012. Lecture Notes in Computer Science, vol 7567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33618-8_94
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DOI: https://doi.org/10.1007/978-3-642-33618-8_94
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