Publication | Open Access
Hospital Site Selection via Hesitant Fuzzy TOPSIS
99
Citations
19
References
2016
Year
Hesitant ThinkingEngineeringMcdm ProcessMultiple-criteria Decision AnalysisHospital MedicineOperations ResearchFuzzy Multi-criteria Decision-makingManagementMulti-criteria Decision MakingSystems EngineeringFuzzy OptimizationMulticriteria EvaluationDecision TheoryStatisticsFuzzy LogicFuzzy ComputingDistributed NetworkFuzzy MathematicsFuzzy Expert SystemHospital Site SelectionDecision ScienceHealth Informatics
This study handles the problem of establishing a well-organized and distributed network of a hospital that delivers its services to the target population. We propose a new multi criteria decision making (MCDM) process that integrates hesitant fuzzy sets (HFSs) to Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The MCDM process defined under uncertainties are perfectly defined by HFSs reflecting comprehensively hesitant thinking of decision makers. Our proposed methodology is implemented to select the optimum site for a new hospital in Istanbul.
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