An Indexing Technique for Fuzzy Numerical Data

Authors:
Carlos D. Barranco;Jesús R. Campaña;Juan M. Medina
Affiliations:
Division of Computer Science, School of Engineering, Pablo de Olavide University, Ctra. de Utrera Km. 1, 41013 Sevilla, Spain;Dept. of Computer Science and Artificial Intelligence, University of Granada, Daniel Saucedo Aranda s/n, 18071 Granada, Spain;Dept. of Computer Science and Artificial Intelligence, University of Granada, Daniel Saucedo Aranda s/n, 18071 Granada, Spain
Venue:
SUM '07 Proceedings of the 1st international conference on Scalable Uncertainty Management
Year:
2007

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Abstract

This paper introduces an indexing technique for fuzzy numerical data which relies on the classical, well-known and well-spread B+tree index data structure. The proposed indexing technique is specifically devised to increase the performance of query processing when a possibility measured flexible condition is involved. The proposal relies on the use of an indexing data structure implemented in virtually every database management system. This feature makes the proposal a good candidate to be used, with very low implementation effort, in a fuzzy database management system created as an extension of a classical one. The paper includes a performance analysis of the proposed indexing technique in contrast with other purpose equivalent techniques in order to evaluate the suitability of the proposal.