Research of case-based reasoning method based on rough sets

Author

Shoukun, Xu ; Xin, Liu ; Xuan, Hao ; Ma, Zhenghua

Author_Institution

Sch. of Inf. Sci. & Technol., Jiangsu Polytech. Univ., Changzhou, China

Volume

1

fYear

2009

fDate

20-22 Nov. 2009

Firstpage

416

Lastpage

419

Abstract

This paper provides a introduction to rough sets theory and its advantage in dealing with uncertain knowledge in fault diagnosis fields. A new method of case-based reasoning based on rough sets is developed. An algorithm for weight determination based on rough sets is proposed. The relations between decision table and case base are analyzed, and case retrieval is realized. An experimental example on fault diagnosis is given to prove the validity and veracity of the method. The results show a very good accord with the experimental work.

Keywords

case-based reasoning; rough set theory; case retrieval; case-based reasoning method; decision table; fault diagnosis fields; rough sets theory; Artificial intelligence; Fault diagnosis; Information science; Knowledge representation; Law; Legal factors; Mathematical model; Paper technology; Rough sets; Statistical analysis; attribute weight; case base; case retrieval; case-based reasoning; rough sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-4754-1

Electronic_ISBN

978-1-4244-4738-1

Type

conf

DOI

10.1109/ICICISYS.2009.5357813

Filename

5357813