A Novel Three-Way Decision Model Based on Dombi Aggregation Operator and Its Applications

Abstract

This study provides a solution to the linguistic three-way decision-making problem with a DHHLTs assessment data. The scoring function, Dombi operational rules and distance measure of a hesitant linguistic element in a double hierarchy are initially established. After that, we will build the DHHLDRTS model. Furthermore, the conditional probability is computed utilizing the DHHLTs environment with EDAS logical analysis, which improves the decision-making process. The loss function is aggregated using the DHHLDWA operator. It takes into account the diverse decision-making criteria of decision-makers. The decision's outcomes are determined by the minimum loss concept. Finally, we will go over some safe driving techniques.