Approximate Accuracy Approaches to Attribute Reduction for Information Systems
Joint Authors
Liu, Deshan
Sang, Yu
Wang, Dapeng
Yan, Deqin
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-30
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The key problem for attribute reduction to information systems is how to evaluate the importance of an attribute.
The algorithms are challenged by the variety of data forms in information system.
Based on rough sets theory we present a new approach to attribute reduction for incomplete information systems and fuzzy valued information systems.
In order to evaluate the importance of an attribute effectively, a novel algorithm with rigorous theorem is proposed.
Experiments show the effect of proposed algorithm.
American Psychological Association (APA)
Liu, Deshan& Wang, Dapeng& Yan, Deqin& Sang, Yu. 2014. Approximate Accuracy Approaches to Attribute Reduction for Information Systems. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1033730
Modern Language Association (MLA)
Liu, Deshan…[et al.]. Approximate Accuracy Approaches to Attribute Reduction for Information Systems. Abstract and Applied Analysis No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1033730
American Medical Association (AMA)
Liu, Deshan& Wang, Dapeng& Yan, Deqin& Sang, Yu. Approximate Accuracy Approaches to Attribute Reduction for Information Systems. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1033730
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033730