Overview on fuzzy fractional coloring
In data science, there are still a variety of uncertainty attributes of objects which can’t be accurately represented numerically, under which case, fuzzy mathematics provides technologies and theoretical guarantee for the representations of their uncertain attributes. So far, fuzzy representation a...
Main Authors: | , |
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Format: | Article |
Language: | English |
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KeAi Communications Co., Ltd.
2021-06-01
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Series: | International Journal of Cognitive Computing in Engineering |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666307421000255 |
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author | Wei Gao Weifan Wang |
author_facet | Wei Gao Weifan Wang |
author_sort | Wei Gao |
collection | DOAJ |
description | In data science, there are still a variety of uncertainty attributes of objects which can’t be accurately represented numerically, under which case, fuzzy mathematics provides technologies and theoretical guarantee for the representations of their uncertain attributes. So far, fuzzy representation and fuzzy set theory have been widely used in decision support systems and fuzzy reasoning, and fuzzy graph is an effective approach for the structured representation of fuzzy data. The coloring of fuzzy graph plays an irreplaceable role in task allocation and conflict coordination. This work summarizes various existing definitions of fuzzy coloring, analyzes the extant fuzzy fractional coloring which is currently proposed, and gives a new definition of fuzzy fractional coloring in terms of a different version of fuzzy coloring. |
first_indexed | 2024-04-11T04:51:29Z |
format | Article |
id | doaj.art-cdb092ef12c140d9b02c19116820693c |
institution | Directory Open Access Journal |
issn | 2666-3074 |
language | English |
last_indexed | 2024-04-11T04:51:29Z |
publishDate | 2021-06-01 |
publisher | KeAi Communications Co., Ltd. |
record_format | Article |
series | International Journal of Cognitive Computing in Engineering |
spelling | doaj.art-cdb092ef12c140d9b02c19116820693c2022-12-27T04:37:21ZengKeAi Communications Co., Ltd.International Journal of Cognitive Computing in Engineering2666-30742021-06-012196201Overview on fuzzy fractional coloringWei Gao0Weifan Wang1Corresponding author.; School of Information Science and Technology, Yunnan Normal University, Kunming 650500, ChinaDepartment of Mathematics, Zhejiang Normal University, Jinhua 321004, ChinaIn data science, there are still a variety of uncertainty attributes of objects which can’t be accurately represented numerically, under which case, fuzzy mathematics provides technologies and theoretical guarantee for the representations of their uncertain attributes. So far, fuzzy representation and fuzzy set theory have been widely used in decision support systems and fuzzy reasoning, and fuzzy graph is an effective approach for the structured representation of fuzzy data. The coloring of fuzzy graph plays an irreplaceable role in task allocation and conflict coordination. This work summarizes various existing definitions of fuzzy coloring, analyzes the extant fuzzy fractional coloring which is currently proposed, and gives a new definition of fuzzy fractional coloring in terms of a different version of fuzzy coloring.http://www.sciencedirect.com/science/article/pii/S266630742100025505C72 |
spellingShingle | Wei Gao Weifan Wang Overview on fuzzy fractional coloring International Journal of Cognitive Computing in Engineering 05C72 |
title | Overview on fuzzy fractional coloring |
title_full | Overview on fuzzy fractional coloring |
title_fullStr | Overview on fuzzy fractional coloring |
title_full_unstemmed | Overview on fuzzy fractional coloring |
title_short | Overview on fuzzy fractional coloring |
title_sort | overview on fuzzy fractional coloring |
topic | 05C72 |
url | http://www.sciencedirect.com/science/article/pii/S2666307421000255 |
work_keys_str_mv | AT weigao overviewonfuzzyfractionalcoloring AT weifanwang overviewonfuzzyfractionalcoloring |