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Comparative Approaches to Granularity in General Rough Sets
A number of nonequivalent perspectives on granular computing are known in the literature, and many are in states of continuous development. Further related concepts of granules and granulations may be incompatible in many senses. This expository paper is intended to explain basic aspects of these fr...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338201/ http://dx.doi.org/10.1007/978-3-030-52705-1_37 |
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author | Mani, A. |
author_facet | Mani, A. |
author_sort | Mani, A. |
collection | PubMed |
description | A number of nonequivalent perspectives on granular computing are known in the literature, and many are in states of continuous development. Further related concepts of granules and granulations may be incompatible in many senses. This expository paper is intended to explain basic aspects of these from a critical perspective, their range of applications and provide directions relative to general rough sets and related formal approaches to vagueness. General granular principles related to knowledge are also mentioned. |
format | Online Article Text |
id | pubmed-7338201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73382012020-07-07 Comparative Approaches to Granularity in General Rough Sets Mani, A. Rough Sets Article A number of nonequivalent perspectives on granular computing are known in the literature, and many are in states of continuous development. Further related concepts of granules and granulations may be incompatible in many senses. This expository paper is intended to explain basic aspects of these from a critical perspective, their range of applications and provide directions relative to general rough sets and related formal approaches to vagueness. General granular principles related to knowledge are also mentioned. 2020-06-10 /pmc/articles/PMC7338201/ http://dx.doi.org/10.1007/978-3-030-52705-1_37 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Mani, A. Comparative Approaches to Granularity in General Rough Sets |
title | Comparative Approaches to Granularity in General Rough Sets |
title_full | Comparative Approaches to Granularity in General Rough Sets |
title_fullStr | Comparative Approaches to Granularity in General Rough Sets |
title_full_unstemmed | Comparative Approaches to Granularity in General Rough Sets |
title_short | Comparative Approaches to Granularity in General Rough Sets |
title_sort | comparative approaches to granularity in general rough sets |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338201/ http://dx.doi.org/10.1007/978-3-030-52705-1_37 |
work_keys_str_mv | AT mania comparativeapproachestogranularityingeneralroughsets |