Abstract
Cloud model is an effective tool in uncertain transforming between qualitative concepts and their quantitative expressions. Backward cloud generator can transform quantitative values into qualitative concepts. In this paper, based on the theory of probability statistics, the authors make analysis of backward cloud algorithm, and construct a new algorithm of backward cloud which is more precise than the old. Finally, a simulation is given to compare the new algorithm with the old algorithms, and the results show that the new algorithm has better stability and adaptability.
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© 2012 Springer-Verlag Berlin Heidelberg
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Wang, G., Xu, C., Zhang, Q., Wang, X. (2012). A Multi-step Backward Cloud Generator Algorithm. In: Yao, J., et al. Rough Sets and Current Trends in Computing. RSCTC 2012. Lecture Notes in Computer Science(), vol 7413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32115-3_37
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DOI: https://doi.org/10.1007/978-3-642-32115-3_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32114-6
Online ISBN: 978-3-642-32115-3
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