DocumentCode :
2543429
Title :
A new roughness measure in ordered information systems
Author :
Liu, Aiping ; Chang, Jin ; Qin, Xiwen ; Teng, Shuhua
Author_Institution :
Dept. of Mech. & Electr. Eng., Luoyang Inst. of Sci. & Technol., Luoyang, China
fYear :
2010
fDate :
16-18 April 2010
Firstpage :
413
Lastpage :
417
Abstract :
Rough set theory is a valid mathematical tool to deal with inexact, uncertain, or vague knowledge. Although some uncertainty measures to evaluate the uncertainty of rough sets have been investigated in ordered information systems, the existing measures are not able to characterize well the imprecision of a rough set. In order to find a new method to measure the roughness of rough sets in ordered information systems, in this paper, we give a well-justified measure, and some important properties are investigated. By an example, it is shown that our new method does not only reflect well the uncertainty of rough sets, but also consist with human cognition in ordered information systems.
Keywords :
information systems; mathematical analysis; rough set theory; mathematical tool; new roughness measure; ordered information systems; rough set theory; vague knowledge; Cognition; Data analysis; Educational institutions; Electric variables measurement; Humans; Information systems; Measurement uncertainty; Mechanical variables measurement; Rough sets; Set theory; ordered information systems; rough set; roughness measure; uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
Type :
conf
DOI :
10.1109/ICIME.2010.5477598
Filename :
5477598
Link To Document :
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