Research on Multiple attribute decision making under hesitant fuzzy linguistic environment with application to production strategy decision making

This paper investigates methods for multiple attribute decision making (MADM) under hesitant fuzzy linguistic environment. Firstly, we define two transform functions between hesitant fuzzy linguistic variables and hesitant fuzzy variables. Then, based on the presented transform functions, a hesitant fuzzy linguistic weighted averaging (HFLWA) operator and a hesitant fuzzy linguistic weighted geometric (HFLWG) operator are developed, and some desired properties of the operators are also analyzed. Successively, an integrated approach for MADM with attribute assessments taking form of hesitant fuzzy linguistic variables is constructed. Furthermore, an illustrative study on production strategy decision making is carried out to verify the effectiveness and practicality of proposed methods.