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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© 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
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