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Exponential Forecasting Model with Fuzzy Number in Long-Distance Call Quantity

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Fuzzy Information & Engineering and Operations Research & Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 211))

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Abstract

An exponential forecasting model, in this paper, is established with fuzzy numbers in long-distance call quantity, and a determining method is given in comparison with examples mentioned in the paper. Besides, the model is verified by example comparison, and the effectiveness of its method.

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Acknowledgments

Thanks to the support by National Natural Science Foundation of China under Grant No. 70771030.

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Authors and Affiliations

  1. School of Mathematics and Information Science; Key Laboratory of Mathematics and Interdisciplinary Sciences of Guangdong Higher Education Institutes, Guangzhou University, ZIP, 510006, People’s Republic of China

    Bing-yuan Cao

Authors
  1. Bing-yuan Cao
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Correspondence to Bing-yuan Cao .

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Editors and Affiliations

  1. School of Mathematics and Information Science, Guangzhou University Higher Education Mega Center, Guangzhou, People's Republic of China

    Bing-Yuan Cao

  2. Department of Mathematics and Computer Sciences, Mazandaran University, Babolsar, Iran

    Hadi Nasseri

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Cao, By. (2014). Exponential Forecasting Model with Fuzzy Number in Long-Distance Call Quantity. In: Cao, BY., Nasseri, H. (eds) Fuzzy Information & Engineering and Operations Research & Management. Advances in Intelligent Systems and Computing, vol 211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38667-1_25

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  • DOI: https://doi.org/10.1007/978-3-642-38667-1_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38666-4

  • Online ISBN: 978-3-642-38667-1

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