Title
A Fuzzy Information Retrieval Method Based on the Vector-Correlative Model
Abstract
The VCM (Vector-Correlative Model) is one of the currently popular models for information searching. In this paper, author inducted Fuzzy Sets theory and approach for to construct information searching models, and presented a new VCM, which is called Fuzzy Vector-correlative Model (FVCM). So, its theory structure and user's searching quizzing mode has been dimming improved. We have show with some fringe experimentation that the new model has overcome some intrinsic defects of the exciting ones, and has raised the precision and recall of information search system.
Year
DOI
Venue
2008
10.1109/FSKD.2008.385
FSKD (1)
Keywords
Field
DocType
user search quizzing mode,fuzzy set theory,fuzzy sets theory,information search system,precision,theory structure,information search model,popular model,information searching,information retrieval,fringe experimentation,fuzzy information retrieval method,vector-correlative model,new model,fuzzy sets,intrinsic defect,fuzzy vector-correlative model,recall,new vcm,fuzzy set,knowledge engineering,algorithm design and analysis,internet,information processing,artificial intelligence
Correlative,Data mining,Algorithm design,Information processing,Computer science,Precision and recall,Fuzzy logic,Fuzzy set,Artificial intelligence,Knowledge engineering,Machine learning,The Internet
Conference
Volume
ISBN
Citations 
1
978-0-7695-3305-6
0
PageRank 
References 
Authors
0.34
1
2
Name
Order
Citations
PageRank
Ying-Liang Wu102.37
Bo Zhou24412.72