Abstract
In this paper, we define some Einstein operations on TrCHFS and develop three arithmetic averaging operators, that is TrCHFEWA operator, TrCHFEOWA operator, and TrCHFEHWA operator, for aggregating trapezoidal cubic fuzzy information. The TrCHFEHWA operator generalizes both the TrCHFEWA and TrCHFEOWA operators. Furthermore, we establish various properties of these operators and derive the relationship between the proposed operators and the exiting aggregation operators. We apply on the TrCHFEHWA operator to multiple attribute decision making with trapezoidal cubic hesitant fuzzy information. Further, a numerical example is provided to illustrate the flexibility and accuracy of the proposed operators. Last, the proposed methods are compared with the existing methods to examine the best developing skill initiatives.