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The Improved Approximation Accuracy Based on Knowledge Granularity
- Source :
- SKG
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- Since Pawlak approximation accuracy does not reflect the influence of knowledge granularity on the approximation accuracy, scholars have put forward a series of improvements. These improvements, however, only consider the position correlation between the knowledge granularity and the approximation accuracy. They neglect the proportional relation of upper and lower approximation. Therefore, an new improved definition of approximation accuracy is proposed in this paper. The new definition not only reflects the influence of knowledge granularity on the approximation accuracy but also considers the proportional relation of upper and lower approximation. It keeps the consistency with the definition of classical approximation accuracy.
- Subjects :
- business.industry
Computer science
02 engineering and technology
Lower approximation
Knowledge-based systems
Software
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Entropy (information theory)
020201 artificial intelligence & image processing
Granularity
Rough set
business
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 13th International Conference on Semantics, Knowledge and Grids (SKG)
- Accession number :
- edsair.doi...........396d5ae7adcf23ff58c174e46cab9cd1
- Full Text :
- https://doi.org/10.1109/skg.2017.00036