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Hesitant Fuzzy Information Processing Based on the Generalized Aggregation of Resulting Trapezoidal Linguistic Terms

This paper discuss the results of the analysis of multi-criteria decision-making algorithms based on expert evaluations, which are presented in the form of hesitant linguistic terms (LTs). Authors propose to form the resulting trapezoidal linguistic terms for any pairs of hesitant triangular fuzzy numbers. To increase the efficiency of the multi-criteria decision making process with hesitant input data, the authors suggest a new approach for fuzzy aggregation of generalized trapezoidal LTs based on combination of pessimistic and optimistic views of decision-makers. Simulation results proves high efficiency of the proposed hesitant fuzzy information processing approach, in particular in solving multi-criteria problem for selection of the most efficient transport company from the set of the existing alternatives.