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Fuzzy Systems and Soft Computing in Nuclear Engineering pp 135–152Cite as

Optimal Operation Planning of Radioactive Waste Processing System by Fuzzy Theory

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 38))

Abstract

This study is concerned with the applications of linear goal programming and fuzzy theory to the analysis of management and operational problems in the radioactive processing system (RWPS). The developed model is validated and verified using actual data obtained from the RWPS at Kyoto University in Japan. The solution by goal programming and fuzzy theory would show the optimal operation point which is to maximize the total treatable radioactive waste volume and minimize the released radioactivity of liquid waste even under the restricted resources.

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References

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Author information

Authors and Affiliations

  1. Department of Nuclear Eng., Korea Advanced Institute of Science and Technology, Kusung-dong, Yusung-gu, Taejon, Korea, 305-701

    Jin Yeong Yang & Kun Jai Lee

Authors
  1. Jin Yeong Yang
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  2. Kun Jai Lee
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Editor information

Editors and Affiliations

  1. Belgian Nuclear Research Centre (SCK*CEN), Boeretang 200, 2400, Mol, Belgium

    Da Ruan

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© 2000 Springer-Verlag Berlin Heidelberg

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Yang, J.Y., Lee, K.J. (2000). Optimal Operation Planning of Radioactive Waste Processing System by Fuzzy Theory. In: Ruan, D. (eds) Fuzzy Systems and Soft Computing in Nuclear Engineering. Studies in Fuzziness and Soft Computing, vol 38. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1866-6_7

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  • DOI: https://doi.org/10.1007/978-3-7908-1866-6_7

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-2466-7

  • Online ISBN: 978-3-7908-1866-6

  • eBook Packages: Springer Book Archive

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