Selection and ranking of dental restorative composite materials using hybrid Entropy-VIKOR method: An application of MCDM technique

Ramkumar Yadav; Mayank Singh; Anoj Meena; Seul-Yi Lee; Soo-Jin Park

doi:10.1016/j.jmbbm.2023.106103

Selection and ranking of dental restorative composite materials using hybrid Entropy-VIKOR method: An application of MCDM technique

J Mech Behav Biomed Mater. 2023 Nov:147:106103. doi: 10.1016/j.jmbbm.2023.106103. Epub 2023 Sep 8.

Authors

Ramkumar Yadav¹, Mayank Singh², Anoj Meena³, Seul-Yi Lee⁴, Soo-Jin Park⁵

Affiliations

¹ Department of Chemistry, Inha University, 100 Inharo, Incheon, 22212, Republic of Korea. Electronic address: ramkumarrky@gmail.com.
² Department of Mechanical Engineering, Indian Institute of Technology BHU, Varanasi, Uttar Pradesh, 221005, India.
³ Department of Mechanical Engineering, Malaviya National Institute of Technology (MNIT), Jaipur, Rajasthan, 302017, India.
⁴ Department of Chemistry, Inha University, 100 Inharo, Incheon, 22212, Republic of Korea. Electronic address: leesy1019@inha.ac.kr.
⁵ Department of Chemistry, Inha University, 100 Inharo, Incheon, 22212, Republic of Korea. Electronic address: sjpark@inha.ac.kr.

PMID: 37690292
DOI: 10.1016/j.jmbbm.2023.106103

Abstract

The objective of this investigation was to design the selection and ranking of dental restorative composite materials using hybrid Entropy-VIKOR as the MCDM method. Eleven performance defining attributes (PDAs) of dental composites were considered to investigate the best formulation among the dental composites. The weight criteria of various PDAs of the dental composite were calculated by the Entropy method: PDA-1(0.0527), PDA-2 (0.0113), PDA-3(0.1692), PDA-4(0.1291), PDA-5(0.0207), etc. The VIKOR method was employed to demonstrate the rank of dental composites. As per the VIKOR method, the first rank was obtained by DHZ6, the second rank was by DHZ8, the third rank was by DHZ4, the fourth rank was by DHZ2, and the lowest rank was by DHZ0. The Hybrid Entropy-VIKOR method holds significance in the biomedical realm due to its capability to effectively address complex decision-making scenarios. Its ability to account for multiple criteria, uncertainties, and compromise solutions makes it particularly useful for enhancing decision-making processes in the biomedical field, where selecting the most suitable options is critical for patient outcomes and healthcare advancements.

Keywords: Dental restorative composites; Entropy; MCDM methods; Optimization methods; VIKOR.