DocumentCode :
443995
Title :
Rough set model in incomplete and fuzzy decision information system based on improved-tolerance relation
Author :
Wei, Da-Kuan ; Zhou, Xian-Zhong
Author_Institution :
Dept. of Autom., Nanjing Univ. of Sci. & Technol., China
Volume :
1
fYear :
2005
fDate :
25-27 July 2005
Firstpage :
278
Abstract :
The topical rough set theory is a forceful tool to handle the complete information system, and its effect to process incomplete information system is poor, particularly, its function to combine the incomplete information system with fuzzy decision information system is poorer. On the base of improving on the tolerance relation made by M. Kryszkiewez, this paper proposes the improved-tolerance relation and improved-tolerance classes; we simultaneously present the definition of the incomplete and fuzzy decision information system based on the improved-tolerance relation, and give its rough set model, i.e. the rough set model in incomplete and fuzzy decision information system. Finally, the conception of precision reduction is defined, and its algorithm is also supplied.
Keywords :
decision support systems; fuzzy set theory; rough set theory; fuzzy decision information system; incomplete information system; rough set model; tolerance relation; Data analysis; Data mining; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Information systems; Management information systems; Pattern recognition; Set theory; Uncertainty; Rough set; improved-tolerance relation; incomplete and fuzzy decision information system; precision reduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
Type :
conf
DOI :
10.1109/GRC.2005.1547285
Filename :
1547285
Link To Document :
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