Name
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, SCFTR realizes the understanding of query sentences in natural language by means of heuristic induct leading mechanism, interactional grammar analysis and semantic analysis. Finally, SCFTR 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. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/IMSCCS.2006.261 | IMSCCS (2) |
Keywords | Field | DocType |
machine learning,computer information systems,natural language,natural languages,database languages,learning artificial intelligence,grammars,neural nets,databases,rough sets,soft computing,database management systems,artificial neural network,information systems,fuzzy set theory,fuzzy sets,fuzzy systems,fuzzy logic,fuzzy clustering,knowledge based systems,rough set,knowledge base,artificial neural networks,information retrieval | Information system,Query language,Computer science,Fuzzy logic,Knowledge-based systems,Rough set,Fuzzy set,Artificial intelligence,Fuzzy control system,Soft computing,Machine learning | Conference |
Volume | Issue | ISBN |
2 | null | 0-7695-2581-4 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yangu Zhang | 1 | 2 | 2.40 |
| Min Yao | 2 | 25 | 3.82 |
| Bin Shen | 3 | 431 | 34.86 |