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Parameterized Local Reduction of Decision Systems
Joint Authors
Chen, Degang
Yang, Yanyan
Zhang, Xiao
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-14
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
One important and valuable topic in rough sets is attribute reduction of a decision system.
The existing attribute reductions are designed to just keep confidence of every certain rule as they cannot identify key conditional attributes explicitly for special decision rules.
In this paper, we develop the concept of θ-local reduction in order to offer a minimal description for special θ-possible decision rules.
The approach of discernibility matrix is employed to investigate the structure of a θ-local reduction and compute all θ-local reductions.
An example of medical diagnosis is employed to illustrate our idea of the θ-local reduction.
Finally, numerical experiments are performed to show that our method proposed in this paper is feasible and valid.
American Psychological Association (APA)
Chen, Degang& Yang, Yanyan& Zhang, Xiao. 2012. Parameterized Local Reduction of Decision Systems. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-993772
Modern Language Association (MLA)
Chen, Degang…[et al.]. Parameterized Local Reduction of Decision Systems. Journal of Applied Mathematics No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-993772
American Medical Association (AMA)
Chen, Degang& Yang, Yanyan& Zhang, Xiao. Parameterized Local Reduction of Decision Systems. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-993772
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993772