International Journal of Industrial Engineering and Management

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Vol. 15 No. 2 (2024)
Original Research Article

Data Normalization for Root Assessment Methodology

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  • Do Duc Trung,
  • Branislav Dudic,
  • Nhu-Tung Nguyen,
  • Aleksandar Ašonja
Do Duc Trung
Hanoi University of Industry, School of Mechanical and Automotive Engineering, Vietnam
Branislav Dudic
Comenius University Bratislava, Faculty of Management, Bratislava, Slovakia
Nhu-Tung Nguyen
Vietnam National University Hanoi, International School, Vietnam
Aleksandar Ašonja
University Business Academy, Faculty of Economics and Engineering Management, Novi Sad, Serbia
DOI: https://doi.org/10.24867/IJIEM-2024-2-354

Published 2024-06-11

abstract views: 164 // FULL TEXT ARTICLE (PDF): 8


Keywords

  • MCDM,
  • RAM method,
  • Normalization method

How to Cite

Trung, D. D., Dudic, B., Nguyen, N.-T., & Ašonja, A. (2024). Data Normalization for Root Assessment Methodology. International Journal of Industrial Engineering and Management, 15(2), 156–168. https://doi.org/10.24867/IJIEM-2024-2-354

Copyright (c) 2024 International Journal of Industrial Engineering and Management

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Data standardization is considered as mandatory work when applying most Multi-Criteria Decision Making (MCDM) methods. This study was conducted to identify the appropriate data standardization methods in combining with the RAM (Root Assessment Method) method. Thirteen different data normalization methods were applied in combining with the RAM method to solve the different problems. Among the thirteen tested data normalization methods, there is an available data normalization method from RAM method. In addition to this one, this study proposed another data normalization method that is determined to be suitable when combining with the RAM method.

Article history: Received (November 6, 2023); Revised (May 4, 2024); Accepted (May 21, 2024); Published online (May 31, 2024)

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FULL TEXT ARTICLE (PDF)
REFERENCES (PDF)