Publication Type : Conference Proceedings
Publisher : 2017 International Conference on Energy
Source : 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS) (2017)
Url : https://ieeexplore.ieee.org/document/8389516
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Computer Science
Year : 2017
Abstract : 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.
Cite this Research Publication : R. Krishankumar, R Ramprakash, J Premaladha, and K S Ravichandran, “Solving head nurse selection problem using hybrid VIKOR method under triangular fuzzy environment”, 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). 2017.