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
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;
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
DOI :
10.1109/GRC.2009.5255157