Development of the rough Defining Interrelationships Between Ranked criteria II method and its application in the MCDM model

Authors

  • Duško Tešić Military Academy, University of Defence, Belgrade, Serbia
  • Mohammad Khalilzadeh Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

DOI:

https://doi.org/10.31181/jdaic10009102024t

Keywords:

Rough DIBR II, Rough ARAS, MCDM, HRM

Abstract

Although numerous methods of multi-criteria decision-making have been developed so far, there are still those that have not been improved by different theories that deal well with uncertainties and inaccuracies that are a normal occurrence in everyday life. The goal of this research is the development of the Rough Defining Interrelationships Between Ranked Criteria II (Rough DIBR II) method and the presentation of its application in the multi-criteria decision-making (MCDM) problem, specifically in human resource management (HRM). The paper presents the subject-developed method and its practical application in the MCDM model with the Rough Additive Ratio Assessment (Rough ARAS) method. In order to check the consistency and validity of the proposed methodology, a sensitivity analysis and a comparative analysis were performed. The conclusions of this research indicate a stable and valid proposed methodology, as well as the possible application of the Rough DIBR II method for defining weighting coefficients of criteria in real-life decision-making problems.

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Published

09.10.2024

How to Cite

Tešić, D., & Khalilzadeh, M. (2024). Development of the rough Defining Interrelationships Between Ranked criteria II method and its application in the MCDM model. Journal of Decision Analytics and Intelligent Computing, 4(1), 153–164. https://doi.org/10.31181/jdaic10009102024t