Title :
A Fuzzy Logic Approach to Case Matching and Retrieval Suitable to SQL Implementation
Author :
Portinale, Luigi ; Montani, Stefania
Author_Institution :
Dipt. di Inf., Univ. del Piemonte Orientale A. Avogadro, Alessandria
Abstract :
The aim of this paper is to formally introduce a fuzzy logic based notion of acceptance and similarity among case features, for case matching and retrieval. In particular, we present an approach where local acceptance relative to a feature can be expressed through fuzzy distributions on its domain, abstracting the actual values to linguistic terms. Furthermore, global acceptance is completely grounded on fuzzy logic, by means of the usual combinations of local distributions through specific defined norms. We propose a retrieval architecture, based on the above notions and implemented through a fuzzy extension of SQL.
Keywords :
SQL; fuzzy logic; fuzzy set theory; SQL implementation; case matching; case retrieval; fuzzy distributions; fuzzy logic approach; Artificial intelligence; Context modeling; Engines; Fuzzy logic; Fuzzy sets; Fuzzy systems; Neural networks; Proposals; Relational databases; Standards organizations; Case Retrieval; Case-Based Reasoning; Fuzzy Logic; Fuzzy SQL;
Conference_Titel :
Tools with Artificial Intelligence, 2008. ICTAI '08. 20th IEEE International Conference on
Conference_Location :
Dayton, OH
Print_ISBN :
978-0-7695-3440-4
DOI :
10.1109/ICTAI.2008.88