Solving head nurse selection problem using hybrid VIKOR method under triangular fuzzy environment

• Published in: 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) pp. 647 - 652
• Main Authors: Krishankumar, R, Ramprakash, R, Premaladha, J, Ravichandran, K S
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2017
• Subjects: Analytic hierarchy process; Correlation; Data analysis; head nurse; hybrid framework; Medical services; Multi criteria decision making; Personnel; Qualifications; VIKOR and analytic hierachy process
• DOI: 10.1109/ICECDS.2017.8389516

The Multi Criteria Decision Making (MCDM) problem is an interesting and dynamic area for research. Many researchers have contributed different methods for effective ranking of the alternatives. All these methods work with the background of crisp or fuzzy data. Recent research has widely used fuzzy data for representation and the popular among them is the Triangular Fuzzy Number (TFN). In this paper, we make efforts to solve the problem of selection of head nurse for health care using hybridized VIKOR method under TFN environment. The weights of the criteria are determined using Analytical Hierarchal Process (AHP) method. We now integrate AHP with VIKOR to form a hybrid framework for selecting a suitable head nurse for the health care. The strength of the framework is verified by comparing the proposed framework with other methods. Correlation inference shows that the proposed framework is consistent with the other state of the art schemes. We also infer that the proposed hybrid framework is a better choice for MCDM problems involving uncertainties and ambiguities.