Selection of Electric Power Wheel Chair Using Intuitionistic Fuzzy Aggregation Operator Based MCGDM

The purpose of this research is to develop weighted power geometric aggregation operator (WPGAO) under intuitionistic fuzzy environment (IFE) in order to aggregate the decision makers' (DMs') judgments while preserving the inter-relationship among the parameters. Furthermore, where the existing score function is unable to rank intuitionistic fuzzy numbers (IFNs), a modified one is suggested to overcome this limitation. Additionally, an integrated multi-criteria group decision-making technique (MCGDM), namely IFWPGAO-based CRiteria Importance Through Intercriteria Correlation (CRITIC) - multi-objective optimization on the basis of ratio analysis (MOORA) has been proposed to solve MCDM problem in an uncertain environment. To verify the suitability of the proposed method, one unique problem, the issue of selecting an electric power wheelchair (EPWC) has also been solved. Additionally, comparative and sensitivity analyses have been carried out to evaluate the viability and effectiveness of the suggested methodology.