Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/25515
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Naumoski, Andreja | en_US |
dc.contributor.author | Mirceva, Georgina | en_US |
dc.contributor.author | Mitreski, Kosta | en_US |
dc.date.accessioned | 2023-01-24T11:56:17Z | - |
dc.date.available | 2023-01-24T11:56:17Z | - |
dc.date.issued | 2022-11-16 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.12188/25515 | - |
dc.publisher | IEEE | en_US |
dc.relation | T-норми за алгоритми базирани на грубо-непрецизирана логика | en_US |
dc.title | Influence of the Yu T-norm on Vaguely Quantified Rough Set Measure Algorithm Accuracy | en_US |
dc.type | Proceeding article | en_US |
dc.relation.conference | 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) | en_US |
dc.identifier.doi | 10.1109/iceccme55909.2022.9988534 | - |
dc.identifier.url | http://xplorestaging.ieee.org/ielx7/9987724/9987729/09988534.pdf?arnumber=9988534 | - |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
crisitem.author.dept | Faculty of Computer Science and Engineering | - |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
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