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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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 |
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Vietnam National University, Hanoi |
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VNU Library & Information Center |
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Vietnam |
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VNU Digital Repository |
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English |
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Engineering |
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Engineering Granular Computing: At the Junction of Rough Sets and Fuzzy Sets |
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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 |