Fuzzy delphi approach to defining a cycle for assessing the performance of military drivers

Abstract

This paper presents the Fuzzy Delphi approach to defining a cycle for assessing the performance of military drivers. This approach is based on the Delphi decision-making process under uncertainty. These uncertainties are described by linguistic terms modeled with triangular fuzzy numbers. The approach is modeled to take into the account the importance - weight of each decision-maker and the homogeneity of their individual fuzzy preferences. The vertex method calculates the distance between the aggregated Fuzzy estimation and the triangular fuzzy numbers in which the linguistic terms which experts had chosen are modeled. Defuzzification of the fuzzy preference of the experts was carried out by a Graded Mean Integration Representation.