Abstract
Fusing the structure feature of interval concept lattice and the actual needs of rough control rules, we have constructed the decision interval concept lattice, further more, we also have built a rules mining model of rough control based on decision interval concept lattice, in order to achieve the optimality between rough control mining cost and control efficiency. Firstly, we have preprocessed the collected original data, so that we can transform it into Boolean formal context form, and then we have constructed the decision interval concept lattice in rough control; secondly, we have established the control rules mining algorithm based on decision interval concept lattice. By analyzing and judging redundant rules, we have formed the rough control association rule base in end. Analysis shows that under the premise of improving the reliability of rules, we have achieved the rough control optimization goal between cost and efficiency. Finally, the model of reservoir scheduling has verified its feasibility and efficiency.
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Acknowledgements
This work is partially supported by the National Natural Science Foundation of China (Grant No. 61370168, 61472340), Conditional Construction Project of Hebei Province Technology Hall (Grant No. 14960112D). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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© 2016 Springer Science+Business Media Singapore
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Sun, A., Zhang, C., Wang, L., Wang, Z. (2016). Rough Control Rule Mining Model Based on Decision Interval Concept Lattice and Its Application. In: Chen, W., et al. Big Data Technology and Applications. BDTA 2015. Communications in Computer and Information Science, vol 590. Springer, Singapore. https://doi.org/10.1007/978-981-10-0457-5_9
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DOI: https://doi.org/10.1007/978-981-10-0457-5_9
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