• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2019, Volume: 12, Issue: 3, Pages: 1-15

Original Article

A Weighted Euclidean Distance - Statistical Variance Procedure based Approach for Improving the Healthcare Decision Making System in Yemen


Objectives: To present the Weighted Euclidean Distance – SVP based approach to support decision-making processes related to the prioritization problems in the health management with the Yemeni context. Methods/Statistical Analysis: The presented approach is applied to the field of healthcare decision making in Yemen. The healthcare ranking problems with the Yemeni context are discussed, some possible applications of MADM technics in the general healthcare sector are illustrated, two of them are conceded as case study examples under both incommensurate and commensurate attributes. Pearson Correlation Coefficient (PCC), the total number of the position’s shifts of the alternatives and the overall level of change (CL) in them are used to compare the results obtained by the proposed approach with the other ranking methods. Findings: The results show the applicability of the using of proposed approach for dealing with ranking problems under commensurate and incommensurate attributes. It also presents that different variant of ranking approaches leads to different ranking’s result. Very high level of numerical correlation coefficients and very small change level in the positions of alternatives are observed between results those determined by the presented approach and those which were obtained by other ranking methods in both cases under study. Application: Two ranking problems were considered in this study, many other problems are existed in the Yemeni healthcare sector, and they almost have the same general structure of the solved ranking problem and it is recommended to use the proposed approach to deal with them.

Keywords: Decision Making in Healthcare Health, Euclidian Distance, Healthcare Ranking Problems, Objective Weighting Method, Population Coverage of Health Services


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