DocumentCode
501237
Title
Uncertainty Analysis to the Decision Rule of Incomplete Information System
Author
Ping, Li ; Fang, Li ; Qizhong, Wu
Author_Institution
Sch. of Manage. & economic, Beijing Inst. of Technol., Beijing, China
Volume
2
fYear
2009
fDate
15-17 May 2009
Firstpage
457
Lastpage
460
Abstract
In an incomplete information system, the measurement of rule´s uncertainty is different from that in the complete information system. On the condition of restrict similarity relation, the properties of certainty and coverage factor of decision rule is discussed. If given suppose that the data distribution of is uniform, the certainty factor can be measured by an approximate probability value. Using the reflection degree of rule to classification classified by condition attribute, we can compute the uncertainty of the whole set of rule to the incomplete information system. An example shows how to analysis the uncertainty of decision rules.
Keywords
information systems; rough set theory; uncertainty handling; approximate probability value; data distribution; decision rule; incomplete information system; uncertainty analysis; Data analysis; Information analysis; Information systems; Information technology; Management information systems; Measurement uncertainty; Null value; Reflection; Set theory; Technology management; decision rule; incomplete information system; rough set; uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location
Chengdu
Print_ISBN
978-0-7695-3600-2
Type
conf
DOI
10.1109/IFITA.2009.327
Filename
5231369
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