DocumentCode :
402904
Title :
Research on an information retrieval scheme based on rough set
Author :
Li, Long-Shu ; Bin, Tang ; Yang, Zeng-guang ; Ni, Zhi-wei
Author_Institution :
Intelligence Comput. & Signal Process. Lab., Anhui Univ., Hefei, China
Volume :
1
fYear :
2003
fDate :
2-5 Nov. 2003
Firstpage :
385
Abstract :
In this paper, a new type information retrieval scheme is designed using rough set theory and fuzzy set knowledge. A new information retrieval method is advanced. The architecture of the system and its key algorithms are given and their time complexities are analyzed. Main characteristic of the research achievement is that the orders of the retrieval algorithm, which is O(log2 M), only relates to the number of index words but does not increase with the augment of the number of documents. Analysis of the method shows our scheme is efficient.
Keywords :
fuzzy set theory; information analysis; information retrieval; rough set theory; fuzzy set knowledge; index words; information retrieval scheme; rough set theory; Computer science; Design engineering; Fuzzy sets; Information retrieval; Laboratories; Rough sets; Set theory; Signal processing; Signal processing algorithms; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
Type :
conf
DOI :
10.1109/ICMLC.2003.1264507
Filename :
1264507
Link To Document :
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