Title :
Research on Methodology of Fuzzy Retrieve Based on Soft Computing
Author :
Zhang, Yangu ; Yao, Min ; Bin Shen
Author_Institution :
Sch. of Comput., Wenzhou Univ.
Abstract :
Information retrieve is one of the most important operations in computer information systems. This paper presents a kind of fuzzy information retrieve method based on soft computing (SCFIR for short). SCFIR adopts fuzzy clustering analysis and artificial neural networks to organize databases in systems so as to increase the efficiency of fuzzy retrieve. At the same time, SCFIR realizes the understanding of query sentences in natural language by means of heuristic induct leading mechanism, interactional grammar analysis and semantic analysis. Finally, SCFIR applies several machine learning mechanisms (such as connective learning, evolutive learning, rough sets and so on) in the maintenance of system knowledge base, and thus the effectiveness and feasibility of retrieve systems are improved availably
Keywords :
database management systems; fuzzy logic; fuzzy set theory; grammars; information retrieval; learning (artificial intelligence); natural languages; neural nets; pattern clustering; artificial neural networks; computer information systems; fuzzy clustering analysis; fuzzy information retrieve method; heuristic induct leading mechanism; interactional grammar analysis; knowledge base; machine learning mechanisms; natural language; query sentences; semantic analysis; soft computing; Artificial neural networks; Databases; Fuzzy neural networks; Fuzzy systems; Information retrieval; Information systems; Learning systems; Machine learning; Natural languages; Rough sets;
Conference_Titel :
Computer and Computational Sciences, 2006. IMSCCS '06. First International Multi-Symposiums on
Conference_Location :
Hanzhou, Zhejiang
Print_ISBN :
0-7695-2581-4
DOI :
10.1109/IMSCCS.2006.261
