Performance evaluation models for parallel computing with dual hesitant fuzzy information

摘要

The problem of evaluating the performance of parallel computing with dual hesitant fuzzy information denotes the multiple attribute decision making issues. Afterwards, inspired by the method of Hamacher aggregation operators and the Choquet integral, in this work, we design a dual hesitant fuzzy Hamacher correlated average (DHFHCA) operator. Next, we exploit the proposed operator to implement the model to tackle the dual hesitant fuzzy multiple attribute decision making problem. In the end, an example is presented to evaluate performance of the proposed method.