Model for evaluating the building engineering quality with Hesitant Fuzzy Linguistic Information

In this paper, we investigate the multiple attribute decision making problems for evaluating the green building engineering quality with hesitant fuzzy linguistic information. We utilized the hesitant fuzzy linguistic geometric Bonferroni mean (HFLGBM) operator to aggregate the hesitant fuzzy linguistic information corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one(s) according to the score function and accuracy function. Finally an illustrative example for evaluating the green building engineering quality with hesitant fuzzy linguistic information has been given to show the developed approach.