TY - GEN
T1 - A Fuzzy logic approach to case matching and retrieval suitable to SQL implementation
AU - Portinale, Luigi
AU - Montani, Stefania
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/57649195256
U2 - 10.1109/ICTAI.2008.88
DO - 10.1109/ICTAI.2008.88
M3 - Conference contribution
AN - SCOPUS:57649195256
SN - 9780769534404
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 241
EP - 245
BT - Proceedings - 20th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'08
T2 - 20th IEEE International Conference on Tools with Artificial Intelligence, ICTAI'08
Y2 - 3 November 2008 through 5 November 2008
ER -