Reduction based on similarity and decision-making
Abstract Reduction of attributes in an information system (IS) is a basic step for IS analysis. The original rough set model of Pawlak depends on an equivalence relation which is strongly constraints. This paper aims to use similarity classes and similarity degrees to obtain a reduction of IS and in...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2020-05-01
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| Series: | Journal of the Egyptian Mathematical Society |
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| Online Access: | http://link.springer.com/article/10.1186/s42787-020-00078-4 |
| Summary: | Abstract Reduction of attributes in an information system (IS) is a basic step for IS analysis. The original rough set model of Pawlak depends on an equivalence relation which is strongly constraints. This paper aims to use similarity classes and similarity degrees to obtain a reduction of IS and indicate an approach by using an example from biochemistry to get a quantitative structure activity relationship (QSAR). Moreover, signs of each attribute and degrees of memberships are computed to give a decision by using the degree of similarity. The suggested approach gives an increase in decision-making and decision accuracy. |
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| ISSN: | 2090-9128 |