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Assessment for nuclear security using Analytic Hierarchy Process (AHP) incorporated with Neural Networking Method in nuclear power plants (NPPs)

  • Kyung Bae Jang , Chang Hyun Baek and Tae Ho Woo EMAIL logo
Published/Copyright: July 18, 2022
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Abstract

Nuclear terrorism is studied by the complex algorithm with Analytic Hierarchy Process (AHP) and neural networking method. For the modeling, the modified crisis response is incorporated with the AHP level structure of five detections. It is applied to select the nine ranks with an input layer, hidden layer, and output layer in a neural networking algorithm containing the operator’s thinking. For 60 years, the range of the secure operation is between 0.01972 in the 18th year and 0.02099 in the 41st year, which means the highest range of security is about 1.064 times higher than that of the lowest value in this study. For the graphics, the highest and lowest values are seen as detection #5 and #1 respectively. The five sites differ in a dynamic manner where the #5 site is more than that of #1. This anti-terrorism study could be applied to energy or chemical plants in the future.


Corresponding author: Tae Ho Woo, Department of Mechanical and Control Engineering, The Cyber University of Korea, 106 Bukchon-ro, Jongno-gu, Seoul 03051, Republic of Korea, E-mail: ,

Funding source: National Research Foundation of Korea (NRF)

Award Identifier / Grant number: 2022M2B5A108069611

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This study was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Ministry of Science and ICT (2022M2B5A108069611).

  3. Conflict of interest statement: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Received: 2022-04-07
Published Online: 2022-07-18
Published in Print: 2022-10-26

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