Combined QFD TOPSIS Approach with 2-Tuple Linguistic Information for Warehouse Selection


IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Naples, Italy, 9 - 12 July 2017 identifier identifier


2-tuple fuzzy linguistic model can be applied to eliminate vagueness/uncertainty in information. It also helps to deal with non-homogeneous information that occurs during group decision making (GDM) processes. GDM is generally applied to diminish the bias during the decision phase and to reduce the subjectivity of the decision process. Thus, this paper proposes an integrated GDM technique based on 2-tuple linguistic model, quality function deployment (QFD) and the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method. This proposed framework is then applied to a green warehouse selection problem. The originality of this paper comes from its combination of these two methodologies together for the first time in literature in this specific field. The application area indicates its suitability for the proposed methodology.