DocumentCode
3424675
Title
An incremental updating principle for computing approximations in information systems while the object set varies with time
Author
Chen, Hongmei ; Li, Tianrui ; Hu, Chengxiang ; Ji, Xiaolan
Author_Institution
Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
49
Lastpage
52
Abstract
Approximations of a concept in the variable precision rough set model will change when an information system varies with time. Usually, it is an effective method to carry out incremental updating approximations by using existing information in the dynamic environment. This paper focuses on the incremental updating principle of computing approximations while objects in information systems dynamically change. The properties of approximations and approaches for updating approximations are provided while objects in the universe evolve over time.
Keywords
approximation theory; data mining; information systems; pattern classification; rough set theory; computing approximations; incremental updating principle; information systems; variable precision rough set model; Error analysis; Fuzzy sets; Information science; Information systems; Rough sets; Set theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255157
Filename
5255157
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