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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Khan, Md. Aquil | en_US |
| dc.date.accessioned | 2022-03-17T01:00:00Z | - |
| dc.date.accessioned | 2022-03-21T10:49:43Z | - |
| dc.date.available | 2022-03-17T01:00:00Z | - |
| dc.date.available | 2022-03-21T10:49:43Z | - |
| dc.date.issued | 2015 | - |
| dc.identifier.citation | Khan, M. A. (2015). A probabilistic approach to information system and rough set theory. Paper presented at the Springer Proceedings in Mathematics and Statistics, , 125 113-123. doi:10.1007/978-81-322-2301-6_9 | en_US |
| dc.identifier.isbn | 9788132223009 | - |
| dc.identifier.issn | 2194-1009 | - |
| dc.identifier.other | EID(2-s2.0-84931076283) | - |
| dc.identifier.uri | https://doi.org/10.1007/978-81-322-2301-6_9 | - |
| dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/6520 | - |
| dc.description.abstract | We propose a generalization of information systems which provides the probability of an object to take an attribute-value for an attribute. Notions of distinguishability relations and corresponding notions of approximations are proposed and studied in comparison with the existing one. © Springer India 2015. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Springer New York LLC | en_US |
| dc.source | Springer Proceedings in Mathematics and Statistics | en_US |
| dc.subject | Approximation algorithms | en_US |
| dc.subject | Information systems | en_US |
| dc.subject | Approximation operators | en_US |
| dc.subject | Attribute values | en_US |
| dc.subject | Distinguishability | en_US |
| dc.subject | Indiscernibility relation | en_US |
| dc.subject | Probabilistic approaches | en_US |
| dc.subject | Similarity relations | en_US |
| dc.subject | Rough set theory | en_US |
| dc.title | A probabilistic approach to information system and rough set theory | en_US |
| dc.type | Conference Paper | en_US |
| Appears in Collections: | Department of Mathematics | |
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