Pharmacological therapy selection of type 2 diabetes based on the SWARA and modified MULTIMOORA methods under a fuzzy environment

作者：

Highlights：

• Considering medication selection for type 2 diabetes as a challenging medical decision-making problem.

• Presenting an improved fuzzy MCDM model as computer-aided medical decision support.

• Hybridizing a SWARA method with an FMULTIMOORA method.

• Extending the fuzzy reference point part of the FMULTIMOORA method to improve the ranking procedure.

• Comparing and validating the performance of the proposed model by the literature and other MCDM techniques.

• Carrying out a sensitivity analysis and ranking five different anti-diabetic agents.

摘要

•Considering medication selection for type 2 diabetes as a challenging medical decision-making problem.•Presenting an improved fuzzy MCDM model as computer-aided medical decision support.•Hybridizing a SWARA method with an FMULTIMOORA method.•Extending the fuzzy reference point part of the FMULTIMOORA method to improve the ranking procedure.•Comparing and validating the performance of the proposed model by the literature and other MCDM techniques.•Carrying out a sensitivity analysis and ranking five different anti-diabetic agents.

论文关键词：Pharmacological therapy selection,Medical decision making,Type 2 diabetes,SWARA,MULTIMOORA,Fuzzy environment

论文评审过程：Received 9 October 2017, Revised 7 March 2018, Accepted 13 March 2018, Available online 30 March 2018, Version of Record 28 May 2018.

论文官网地址：https://doi.org/10.1016/j.artmed.2018.03.003