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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Renxia Wan, Duoqian Miao, Witold Pedrycz
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
Materias:
Acceso en línea:https://doaj.org/article/c9608a0d11cb401489d3ac1425dbb5d9
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:c9608a0d11cb401489d3ac1425dbb5d9
record_format dspace
spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Computational linguistics. Natural language processing
P98-98.5
Computer software
QA76.75-76.765
spellingShingle 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