Evaluating Healthcare Efficacy: An Exploration Of Grey Relational Analysis And COCOSO In MCDM Framework

Main Article Content

J.V. Bhanutej
V.V.S. Kesava Rao

Abstract

The growing intricacies and demand for enhanced care quality in the healthcare sector necessitate robust performance evaluation mechanisms. This study embarks on a comprehensive assessment of healthcare organizations employing three sophisticated Multi-Criteria Decision Making methods. The Mahalanobis distance based GRA TOPSIS, along with Combined Compromise Solution (CoCoSo) is applied in this study.This study underpins the importance of a tailored approach to healthcare organization performance evaluations and provides decision-makers with robust tools tailored for evaluative needs by considering the case study of Twenty Healthcare organization in Andhra Pradesh, India. Also, in order to evaluate the correctness of ranking of the proposed methods, Spearman, Kendall and Rank-Biased Overlap (RBO) are considered as ranking consistency indices.

Downloads

Download data is not yet available.

Article Details

How to Cite
J.V. Bhanutej, & V.V.S. Kesava Rao. (2024). Evaluating Healthcare Efficacy: An Exploration Of Grey Relational Analysis And COCOSO In MCDM Framework. Educational Administration: Theory and Practice, 30(4), 7261–7276. https://doi.org/10.53555/kuey.v30i4.2539
Section
Articles
Author Biographies

J.V. Bhanutej

Department of Mechanical Engineering, Anil Neerukonda Institute of Technology and Sciences, Andhra Pradesh, India

V.V.S. Kesava Rao

Department of Mechanical Engineering, Faculty of Engineering, College of Engineering, Andhra University,

Andhra Pradesh, India