Granular Computing: At the Junction of Rough Sets and Fuzzy Sets

Since their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches fo...

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Other Authors: Bello, Rafael
Format: Book
Language:English
Published: Springer 2017
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Online Access:http://repository.vnu.edu.vn/handle/VNU_123/30909
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Institution: Vietnam National University, Hanoi
Language: English
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spelling oai:112.137.131.14:VNU_123-309092020-05-13T01:41:36Z Granular Computing: At the Junction of Rough Sets and Fuzzy Sets Bello, Rafael Falcón, Rafael Pedrycz, Witold Kacprzyk, anusz Engineering Since their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches for the dynamics of the area and its rapid advancements. In the last few years the widespread utilization of fuzzy and rough sets as granulation sources has contributed to lay both methodologies in a privileged position within Granular Computing, thus giving rise to a sort a modeling which is far closer to the way human beings perceive their environment – via granulated knowledge (...) 2017-04-19T02:34:13Z 2017-04-19T02:34:13Z 2008 Book 978-3-540-76972-9 http://repository.vnu.edu.vn/handle/VNU_123/30909 en 339 p. application/pdf Springer
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Engineering
spellingShingle Engineering
Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
description Since their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches for the dynamics of the area and its rapid advancements. In the last few years the widespread utilization of fuzzy and rough sets as granulation sources has contributed to lay both methodologies in a privileged position within Granular Computing, thus giving rise to a sort a modeling which is far closer to the way human beings perceive their environment – via granulated knowledge (...)
author2 Bello, Rafael
author_facet Bello, Rafael
format Book
title Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
title_short Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
title_full Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
title_fullStr Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
title_full_unstemmed Granular Computing: At the Junction of Rough Sets and Fuzzy Sets
title_sort granular computing: at the junction of rough sets and fuzzy sets
publisher Springer
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/30909
_version_ 1680962790977699840