Diabetes-related complications severity analysis based on hybrid fuzzy multi-criteria decision making approaches

Morteza Ebrahimi


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. In this research two fuzzy MCDM approaches including fuzzy TOPSIS and fuzzy GRA methods are used to decide the significance of each diabetes complications due to its main risk factors. It is a new view point of fuzzy MCDM methods to be used for analysis of complications due to a specific disease.



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