Dual Probabilistic Linguistic Full Consistency Additive Ratio Assessment Model for Medical Equipment Supplier Selection

Abstract In comparison to probabilistic linguistic term sets (PLTSs), dual (DPLTSs) reveal the complexity and uncertainty of this realistic world more accurately. The power average operator can mitigate consequences some decision-makers’ strong biases while evaluating data. Additionally, Dombi operators during phase aggregation are very adaptable with general parameter. Inspired by these topics, we propose aggregate decision-making expert’s preferences various elegant properties proposed (DPL)-aggregating operators. Further, establish an integrated method combination DPL-aggregation operators, full consistency (FUCOM) additive ratio assessment (ARAS) model called “DPL-FUCOM-ARAS” methodology for solving multi-criteria decision analysis problems under environment. methodology, FUCOM is applied determine criteria weight, ARAS presented prioritize options from perspective. We present a case study on selection medical equipment supplier highlight applicability show usefulness DPL-FUCOM-ARAS methodology. discuss sensitivity investigation comparative discussion check stability robustness