Approaches to manage hesitant fuzzy linguistic information based on the cosine distance and similarity measures for HFLTSs and their application in qualitative decision making

摘要: We introduce a family of novel distance and similarity measures for HFLTSs.We develop cosine-distance-based HFL-TOPSIS method.We HFL-VIKOR use numerical example to illustrate the proposed methods. Qualitative hesitant information is common in practical decision making process. In such complicated problem, it flexible experts comparative linguistic expressions express their opinions since are much closer than single or simple term human way thinking cognition. The fuzzy set (HFLTS) turns out be powerful tool representing eliciting expressions. order some approaches with information, this paper, we firstly HFLTSs, as cosine measures, weighted continuous measures. All these from geometric point view while existing over HFLTSs based on different forms algebra Afterwards, between elements, method developed dealing multiple criteria problems. step by algorithms two methods given convenience applications. Finally, concerning selection ERP systems validation efficiency