intelligent mcdm method for supplier selection under fuzzy environment

supplier evaluation and selection is complex which caused by the dynamic and fuzzy environment. current mcdm methods do not consider the nature of the environment that can affect the process of evaluation and ranking. the aim of this study is to propose a dynamic fuzzy hybrid mcdm method for evaluation, ranking and selection. the proposed method employs fuzzy analytic hierarchy process (fahp) for weighting of criteria, and fuzzy inference system (fis). the fis determines the effectiveness ratio for fahp method and fuzzy technique for order performance by similarity to ideal solution (ftopsis). the proposed method has been applied for supplier selection in a steel company to illustrate its applicability, flexibility and accuracy in different decision making situations.