A Hesitant Fuzzy Based TOPSIS Approach for Smart Glass Evaluation

Hesitant fuzzy linguistic term sets (HFLTS) are applied to better represent decision maker's (DMs') preferences in complex situations such as uncertainty in DMs' opinions and the difficulty about expressing thoughts by numbers. As an important tool, HFLTS presents a novel and strong approach for processing qualitative judgments of DMs. Therefore, this paper develops an approach based on HFLTS, ordered weighted averaging (OWA) operator and hesitant fuzzy technique for order performance by similarity to ideal solution (TOPSIS). A case study about smart glass (SG) evaluation is given to demonstrate the potential of the approach. The originality of the work comes from its evaluation methodology and its use on a case study for a logistics company. The study contributes the smart glass (SG) evaluation literature by introducing the integrated OWA Operator-Hesitant TOPSIS methodology. Since technology selection is an important subject for managers, the proposed methodology can be guided managers for an effective SG evaluation process.