Main Article Content
Nowadays, group decision making especially multi-attribute decision making (MADM) problems acts as an important role in management science aspects which has been studied by researchers for years. Different categories of fuzzy languages and application methods are further expanded and studied. Indeed, decision makers do have a great choice in decision-making units, but in specific applications, lack of systematic and interactive decision-making often results in unsatisfactory or unexpected results. In order to solve it, we establish some linear programming models under hesitant fuzzy linguistic environment, which provides channels for interaction by hesitant fuzzy units. The procedure helps get the final best satisfactory solution by times of adjusting the satisfactory degrees of alternatives. The develop process and case analysis fully illustrates the importance of correction and adjustment in the HFLTS (hesitant fuzzy linguistic term sets) circumstances. It can be utilized for better decision-making concerning complex, unsatisfactory results and hesitant fuzzy circumstances.