Constrained tolerance rough set in incomplete information systems
Abstract The tolerance rough set is developed as one of the outstanding extensions of the Pawlak's rough set model under incomplete information, and the limited tolerance relation is developed to overcome the problem that objects leniently satisfy the tolerance relation. However, the classifica...
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2021
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oai:doaj.org-article:c9608a0d11cb401489d3ac1425dbb5d92021-11-17T03:12:43ZConstrained tolerance rough set in incomplete information systems2468-232210.1049/cit2.12034https://doaj.org/article/c9608a0d11cb401489d3ac1425dbb5d92021-12-01T00:00:00Zhttps://doi.org/10.1049/cit2.12034https://doaj.org/toc/2468-2322Abstract The tolerance rough set is developed as one of the outstanding extensions of the Pawlak's rough set model under incomplete information, and the limited tolerance relation is developed to overcome the problem that objects leniently satisfy the tolerance relation. However, the classification based on the limited tolerance relationship cannot reflect the matching degree of uncertain information of objects. In this article, we explore the influence of null values in an incomplete system, and propose the constrained tolerance relation based on the matching degree of uncertain information of objects. The proposed rough set based on the constrained tolerance relation can provide a more detailed structure of an object class through threshold. Proofs and example analyses further show the rationality and superiority of the proposed model.Renxia WanDuoqian MiaoWitold PedryczWileyarticleComputational linguistics. Natural language processingP98-98.5Computer softwareQA76.75-76.765ENCAAI Transactions on Intelligence Technology, Vol 6, Iss 4, Pp 440-449 (2021) |
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Computational linguistics. Natural language processing P98-98.5 Computer software QA76.75-76.765 |
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Computational linguistics. Natural language processing P98-98.5 Computer software QA76.75-76.765 Renxia Wan Duoqian Miao Witold Pedrycz Constrained tolerance rough set in incomplete information systems |
description |
Abstract The tolerance rough set is developed as one of the outstanding extensions of the Pawlak's rough set model under incomplete information, and the limited tolerance relation is developed to overcome the problem that objects leniently satisfy the tolerance relation. However, the classification based on the limited tolerance relationship cannot reflect the matching degree of uncertain information of objects. In this article, we explore the influence of null values in an incomplete system, and propose the constrained tolerance relation based on the matching degree of uncertain information of objects. The proposed rough set based on the constrained tolerance relation can provide a more detailed structure of an object class through threshold. Proofs and example analyses further show the rationality and superiority of the proposed model. |
format |
article |
author |
Renxia Wan Duoqian Miao Witold Pedrycz |
author_facet |
Renxia Wan Duoqian Miao Witold Pedrycz |
author_sort |
Renxia Wan |
title |
Constrained tolerance rough set in incomplete information systems |
title_short |
Constrained tolerance rough set in incomplete information systems |
title_full |
Constrained tolerance rough set in incomplete information systems |
title_fullStr |
Constrained tolerance rough set in incomplete information systems |
title_full_unstemmed |
Constrained tolerance rough set in incomplete information systems |
title_sort |
constrained tolerance rough set in incomplete information systems |
publisher |
Wiley |
publishDate |
2021 |
url |
https://doaj.org/article/c9608a0d11cb401489d3ac1425dbb5d9 |
work_keys_str_mv |
AT renxiawan constrainedtoleranceroughsetinincompleteinformationsystems AT duoqianmiao constrainedtoleranceroughsetinincompleteinformationsystems AT witoldpedrycz constrainedtoleranceroughsetinincompleteinformationsystems |
_version_ |
1718426017441251328 |