Reduction of an information system
| Autor: | Muhammad Shabir, Muhammad Irfan Ali, Rani Sumaira Kanwal |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Approximations of π Binary relation Fuzzy set Computational intelligence 02 engineering and technology Theoretical Computer Science Reduction (complexity) 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Information system Equivalence relation 020201 artificial intelligence & image processing Geometry and Topology Algorithm Software Parametric statistics Mathematics |
| Zdroj: | Soft Computing. 24:10801-10813 |
| ISSN: | 1433-7479 1432-7643 |
| DOI: | 10.1007/s00500-019-04582-3 |
| Popis: | Notion of soft binary relation is studied here. Some properties of lower and upper approximations with the help of soft equivalence relations are given. Actually, approximations of a subset by a soft binary relation give rise to two soft sets. This new setting is very clear and provides approximations related to every parameter/attribute under consideration. For any subset X, there is an associated fuzzy subset with respect to each parameter. These fuzzy sets are very helpful in decision-making problems. Parametric reduction helps to reduce the size of data. A technique has been presented for this purpose. |
| Databáze: | OpenAIRE |
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