Diabetes Related Complications Severity Analysis Based on Hybrid Fuzzy Multi-Criteria Decision Making Approaches

Introduction: type 2 diabetes mellitus is a significant global public health problem affecting more than 285 million people worldwide. evidence suggests that lifestyle and other non-pharmacological interventions can delay and even prevent the development of disease and its complications. this disease should be effectively controlled because of its complications including cardiovascular diseases, neuropathy, retinopathy, kidney diseases and etc. material and methods: in this research two fuzzy multi-criteria decision making (mcdm) approaches including fuzzy topsis and fuzzy grey relational analysis (gra) methods are used to decide the significance of each diabetes complications due to its main risk factors. results: in gra method values of the first pair-wise comparison between criterions were defined in interval-valued fuzzy numbers, this puts more accuracy on the problem and the final ranking obtained from this method was a little different in sorting and weights of alternatives compared to fuzzy topsis method. conclusion: it is a new view point of fuzzy mcdm methods to be used for analysis of complications due to a specific disease.