Rough Set Approach to Incomplete Multiscale Information System
Joint Authors
Yu, Hualong
Yang, Jingyu
Yang, Xibei
Qi, Yong
Yu, Dongjun
Song, Xiaoning
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-08-17
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Multiscale information system is a new knowledge representation system for expressing the knowledge with different levels of granulations.
In this paper, by considering the unknown values, which can be seen everywhere in real world applications, the incomplete multiscale information system is firstly investigated.
The descriptor technique is employed to construct rough sets at different scales for analyzing the hierarchically structured data.
The problem of unravelling decision rules at different scales is also addressed.
Finally, the reduct descriptors are formulated to simplify decision rules, which can be derived from different scales.
Some numerical examples are employed to substantiate the conceptual arguments.
American Psychological Association (APA)
Yang, Xibei& Qi, Yong& Yu, Dongjun& Yu, Hualong& Song, Xiaoning& Yang, Jingyu. 2014. Rough Set Approach to Incomplete Multiscale Information System. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1050034
Modern Language Association (MLA)
Yang, Xibei…[et al.]. Rough Set Approach to Incomplete Multiscale Information System. The Scientific World Journal No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-1050034
American Medical Association (AMA)
Yang, Xibei& Qi, Yong& Yu, Dongjun& Yu, Hualong& Song, Xiaoning& Yang, Jingyu. Rough Set Approach to Incomplete Multiscale Information System. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-1050034
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050034