Abstract
The average medical cost for each time and the frequency of hospitalization are expressed by countable fuzzy cardinal numbers according to the different health state. In this paper, we use addition, multiplication and algorithms of countable fuzzy cardinal number to simulate and analyze the total amount of medical insurance claims. The result of the simulation and analysis is dynamic. It provides a new thought and method of calculating the total amount of medical insurance claims, and also provides a new way for risk management and control of the health insurance industry.
Supported by the MOE Project of Key Research Institute of Humanities and Social Science in Universities (No.2009JJD790053) and by the 211 Project For Central University of Finance and Economics (the 3rd Phase).
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Kou, Y., Li, H., Jia, L. (2010). The Simulation and Analysis of Total Amount of Medical Insurance Claims Based on Countable Fuzzy Cardinal Number and Its Algorithms. In: Cao, By., Wang, Gj., Guo, Sz., Chen, Sl. (eds) Fuzzy Information and Engineering 2010. Advances in Intelligent and Soft Computing, vol 78. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14880-4_87
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DOI: https://doi.org/10.1007/978-3-642-14880-4_87
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14879-8
Online ISBN: 978-3-642-14880-4
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