ArticleJournal of medical systems2013
VIKOR method with enhanced accuracy for multiple criteria decision making in healthcare management.
Article in Journal of medical systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent.Scientific reports · 2024Article
- An investigation to offer conclusive recommendations on suitable benefit/cost criteria-based normalization methods for TOPSIS.MethodsX · 2023Article
- Design and Definition of a New Decision Support System Aimed to the Hierarchization of Patients Candidate to Be Admitted to Intensive Care Units.Healthcare (Basel, Switzerland) · 2022Article
- The novel VIKOR methods for generalized Pythagorean fuzzy soft sets and its application to children of early childhood in COVID-19 quarantine.Neural computing & applications · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Višekriterijumsko kompromisno rangiranje (VIKOR) method is one of the commonly used multi criteria decision making (MCDM) methods for improving the quality of decision making. VIKOR has an advantage in providing a ranking procedure for positive attributes and negative attributes when it is used and examined in decision support. However, we noticed that this method may failed to support an objective result in medical field because most medical data have normal reference ranges (e.g., for normally distributed data: NRR ∈ [μ ± 1.96σ], this limitation shows a negative effect on the acceptance of it as an effective decision supporting method in medical decision making. This paper proposes an improved VIKOR method with enhanced accuracy (ea-VIKOR) to make it suitable for such data in medical field by introducing a new data normalization method taking the original distance to the normal reference range (ODNRR) into account. In addition, an experimental example was presented to demonstrate efficiency and feasibility of the ea-VIKOR method, the results demonstrate the ability of ea-VIKOR to deal with moderate data and support the decision making in healthcare care management. For this reason, the ea-VIKOR should be considered for use as a decision support tool for future study.
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Registered trials
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