An Extension of EDAS Method Equipped with Trapezoidal Bipolar Fuzzy Information: An Application from Healthcare System

The paper introduces a novel evaluation based on distance from average solution equipped with trapezoidal bipolar fuzzy sets (TrBF-EDAS) to handle Multi-Criteria Group Decision- Making problems which include linguistic vagueness regarding the decision-makers’ double-sided judgmental thinking. The applicability of the TrBF-EDAS is demonstrated through an illustrative application with a real background concerning the selection of a medical device that can perform image-based assays dealing with dead and live cell count, cell viability. In this context, this selection process of the most desirable device to be used in cell culture studies in the department of medical biology in a faculty of medicine in Turkey is performed employing the TrBF-EDAS concerning the opinions of five decision-makers who are experts in their fields. In the study, computational analyses are performed to validate the TrBF-EDAS method. To this end, 24 cases are generated by determining randomly different weights of criteria. For all cases, the preference rankings determined by the TrBF-EDAS are compared with the outputs obtained by the TrBF-TOPSIS and TrBF-VIKOR, known in the literature, statistically. Finally, based on the computational results, it is worth noting that TrBF-EDAS is an efficient and useful tool to evaluate the alternatives in any system in which there is fuzzy bipolar information.

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