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Abstract
In this paper, data analysis for multiple facts was carried out via fuzzy entropy. The entropy for the fuzzy data with respect to multiple facts was designed through distance measure. The obtained fuzzy entropy was used to analyze the uncertainties with respect to each fact. By summarizing fuzzy entropy, data uncertainty information was limited by the total fact (n) minus one, that is,n -1. The bounded calculation of data uncertainty to each fact was also proven for multiple facts and the decision of fuzzy data to the certain fact among multiple facts has been considered with the help of fuzzy entropy calculation.
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Authors and Affiliations
Dept. Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, China
Sanghyuk Lee & T. O. Ting
- Sanghyuk Lee
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- T. O. Ting
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Editors and Affiliations
Key Laboratory of Machine Perception (MOE), Peking University, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China
Ying Tan
Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China
Yuhui Shi
Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, 518060, Shenzhen, China
Zhen Ji
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Lee, S., Ting, T.O. (2012). The Evaluation of Data Uncertainty and Entropy Analysis for Multiple Events. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31020-1_21
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Online ISBN:978-3-642-31020-1
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