Optimal design of type-2 fuzzy systems for diabetes classification based on genetic algorithms

Volume: 17, Issue: 1-2, Pages: 15 - 32
Published: Jul 13, 2021
Abstract
Diabetes has become a global health problem, where a proper diagnosis is vital for the life quality of patients. In this article, a genetic algorithm is put forward for designing type-2 fuzzy inference systems to perform Diabetes Classification. We aim at finding parameter values of Type-2 Trapezoidal membership functions and the type of model (Mamdani or Sugeno) with this optimization. To verify the effectiveness of the proposed approach, the...
Paper Details
Title
Optimal design of type-2 fuzzy systems for diabetes classification based on genetic algorithms
Published Date
Jul 13, 2021
Volume
17
Issue
1-2
Pages
15 - 32
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