Abstract
In real-life linguistic decision making, participates may hesitate when they are requested to provide evaluations on alternatives due to the uncertainty and vagueness of the information. Single terms are usually not flexible enough for experts to express their opinion, thus more elaborated linguistic expressions, such as comparative linguistic expressions (CLEs), are needed. However, because of the lack of researches on fuzzy representation models of CLEs, when CLEs are adopted in decision making, it is difficult to carry out computing with words (CWW). To fill this gap, we come up with a new T2F-representation model for CLEs in this research by introducing a new T2FE of hesitant fuzzy linguistic term sets (HFLTSs). The proposed model decreases the information losing during the CWW processes when CLEs are used in decision making, by applying T2FSs to represent linguistic information. Therefore, it contributes to increase the flexibility for experts to extract and express linguistic information.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
