A model for failure mode and effects analysis based on intuitionistic fuzzy approach

Display Omitted This article provides a model for the Failure Mode and Effects Analysis Based on Intuitionistic Fuzzy Approach. Method was used to determine the weight of decision makers.Determining the weight of risk factors using intuitionistic fuzzy linguistic terms and IFWA operator that it used to aggregate weight factor.Failure modes has ranked using the intuitionistic fuzzy TOPSIS technique.Further study can focus on interval valued intuitionistic fuzzy set to evaluation failure modes with FMEA technique or other decision support systems. Failure mode and effects analysis (FMEA) is one of the most powerful methods in the field of risk management and has been widely used for improving process reliability in manufacturing and service sector. High applicability of FMEA has contributed to its applications in many research domains and practical fields pertaining risk assessment and system safety enhancement. However, the method has also been criticized by experts due to several weaknesses and limitations. The current study proposed a novel model for failure mode and effects analysis based on intuitionistic fuzzy approach. This approach offers some advantages over earlier models as it accounts for degrees of uncertainty in relationships among various criteria or options, specifically when relations cannot be expressed in definite numbers. The proposed model provides a tool to evaluate the failure modes, while dealing with vague concepts and insufficient data. The proposed model was tested in a case study examining the failure modes for quality of internet banking services.