International Journal of Computational Intelligence Systems

Volume 12, Issue 2, 2019, Pages 855 - 872

Matrix-Based Approaches for Updating Approximations in Multigranulation Rough Set While Adding and Deleting Attributes

Authors
Peiqiu Yu1, Jinjin Li1, *, Hongkun Wang2, Guoping Lin1
1School of Mathematics and Statistics, Minnan Normal University, Fujian, Zhangzhou, 363000, China
2Georgetown University, Washington, DC, 20057, USA
*Corresponding author. Email: jinjinlimnu@126.com
Corresponding Author
Jinjin Li
Received 18 January 2019, Accepted 20 June 2019, Available Online 5 July 2019.
DOI
10.2991/ijcis.d.190718.001How to use a DOI?
Keywords
Approximation computation; Multigranulation rough set; Knowledge acquisition; Decision-making
Abstract

With advanced technology in medicine and biology, data sets containing information could be huge and complex that sometimes are difficult to handle. Dynamic computing is an efficient approach to solve some problems. Since multigranulation rough sets were proposed, many algorithms have been designed for updating approximations in multigranulation rough sets, but they are not efficient enough in terms of computational time. The purpose of this study is to further reduce the computational time of updating approximations in multigranulation rough sets. First, searching regions in data sets for updating approximations in multigranulation rough sets are shrunk. Second, matrix-based approaches for updating approximations in multigranulation rough set are proposed. The incremental algorithms for updating approximations in multigranulation rough sets are then designed. Finally, the efficiency and validity of the designed algorithms are verified by experiments.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
855 - 872
Publication Date
2019/07/05
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.190718.001How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Peiqiu Yu
AU  - Jinjin Li
AU  - Hongkun Wang
AU  - Guoping Lin
PY  - 2019
DA  - 2019/07/05
TI  - Matrix-Based Approaches for Updating Approximations in Multigranulation Rough Set While Adding and Deleting Attributes
JO  - International Journal of Computational Intelligence Systems
SP  - 855
EP  - 872
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.190718.001
DO  - 10.2991/ijcis.d.190718.001
ID  - Yu2019
ER  -