Extended Tolerance Relation to Define a New Rough Set Model in Incomplete Information Systems
Joint Authors
Unehara, Muneyuki
Yamada, Koichi
Nguyen, Do Van
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper discusses and proposes a rough set model for an incomplete information system, which defines an extended tolerance relation using frequency of attribute values in such a system.
It first discusses some rough set extensions in incomplete information systems.
Next, “probability of matching” is defined from data in information systems and then measures the degree of tolerance.
Consequently, a rough set model is developed using a tolerance relation defined with a threshold.
The paper discusses the mathematical properties of the newly developed rough set model and also introduces a method to derive reducts and the core.
American Psychological Association (APA)
Nguyen, Do Van& Yamada, Koichi& Unehara, Muneyuki. 2013. Extended Tolerance Relation to Define a New Rough Set Model in Incomplete Information Systems. Advances in Fuzzy Systems،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-466826
Modern Language Association (MLA)
Nguyen, Do Van…[et al.]. Extended Tolerance Relation to Define a New Rough Set Model in Incomplete Information Systems. Advances in Fuzzy Systems No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-466826
American Medical Association (AMA)
Nguyen, Do Van& Yamada, Koichi& Unehara, Muneyuki. Extended Tolerance Relation to Define a New Rough Set Model in Incomplete Information Systems. Advances in Fuzzy Systems. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-466826
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-466826
