Indian Journal of Science and Technology
Year: 2023, Volume: 16, Issue: 34, Pages: 2746-2752
K Thirumalai1*, G Uthra2, V Anandan3
1Research Scholar, University of Madras & Department of Mathematics, Saveetha Engineering College, Chennai
2PG & Research Department of Mathematics, Pachaiyappa’s College, Chennai
3Department of Mathematics, Saveetha Engineering College, Chennai, India
Email: [email protected]
Received Date:04 July 2023, Accepted Date:07 August 2023, Published Date:15 September 2023
Objectives: The main aim of this research is to obtain the criterion weight in Multi-Criteria Decision Making (MCDM) with conflicting criteria, as the relevance and impact of the criterion weight alters the outcome of any decision-making. Methods: This study proposes a modification to the existing Entropy technique using principal component analysis, which is found to be suitable for all dayto- day real-life problems. Findings: A comparative study is done between covariance and correlation analysis to validate the accuracy of the proposed technique. The proposed modification is illustrated with a numerical example. Novelty: The inclusion of the concept of covariance analysis in the principal component analysis is a new approach to the determination of the criterion weight in MCDM.
Keywords: Multi-Criteria Decision Making (MCDM); Entropy; Criterion Weight; Covariance; Correlation; Principal Component Analysis (PCA); CRITIC method
© 2023 Thirumalai et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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