Granular Space Reduction to a β Multigranulation Fuzzy Rough Set
Joint Authors
Li, Jianzhen
Zhou, Junyi
Ma, Shaohui
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-30
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Multigranulation rough set is an extension of classical rough set, and optimistic multigranulation and pessimistic multigranulation are two special cases of it.
β multigranulation rough set is a more generalized multigranulation rough set.
In this paper, we first introduce fuzzy rough theory into β multigranulation rough set to construct a β multigranulation fuzzy rough set, which can be used to deal with continuous data; then some properties are discussed.
Reduction is an important issue of multigranulation rough set, and an algorithm of granular space reduction to β multigranulation fuzzy rough set for preserving positive region is proposed.
To test the algorithm, experiments are taken on five UCI data sets with different values of β.
The results show the effectiveness of the proposed algorithm.
American Psychological Association (APA)
Zhou, Junyi& Ma, Shaohui& Li, Jianzhen. 2014. Granular Space Reduction to a β Multigranulation Fuzzy Rough Set. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1014568
Modern Language Association (MLA)
Zhou, Junyi…[et al.]. Granular Space Reduction to a β Multigranulation Fuzzy Rough Set. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1014568
American Medical Association (AMA)
Zhou, Junyi& Ma, Shaohui& Li, Jianzhen. Granular Space Reduction to a β Multigranulation Fuzzy Rough Set. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1014568
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014568
