  Exercise rehabilitation is an important part in the comprehensive management
of patients with diabetes and there is a need to conduct comprehensively
evaluation of several factors such as the physical fitness, cardiovascular risk
and diabetic disease factors. However, special disease features of diabetes and
its wide heterogeneity make it difficult to apply individualized approaches. In
this study, a novel framework was established based on the Fuzzy Analytic
Hierarchy Process (FAHP) approach to calculate various physiological factors
weights when developing a diabetic exercise prescription. Proposed factors were
investigated with respect to three groups which contains 12 different aspects.
The relative weights were assessed by a database which established through a
questionnaire survey. It is concluded that the physical fitness factors and
cardiovascular risk factors need to be paid more attention to considered in the
formulation of exercise rehabilitation programs than disease factors. And the
cardiopulmonary function of physical fitness factors accounts for the highest
importance. Furthermore, it was found that blood lipids have the lowest
importance among studied factors. The mathematical model of exercise
rehabilitation program for diabetes patients was established, which provided
the theoretical basis for individualized guidance of exercise rehabilitation
program.

Quantitative Methods;Medical Physics