An Enhance Expert System for Diagnosis of Diabetes using Fuzzy Rules over PIMA Dataset

Authors

  • Hanslal Prajapati Department of Computer Science and Engineering Radharaman Institute of Technology and Science, Bhopal, India
  • Anurag Jain Department of Computer Science and Engineering Radharaman Institute of Technology and Science, Bhopal, India
  • Sanjay Kumar Pal Department of Computer Science and Engineering Radharaman Institute of Technology and Science, Bhopal, India

Keywords:

diabetes; diagnosis; expert system; fuzzy logic; patient

Abstract

To improve the accuracy and to achieve better efficiency, a new Fuzzy Inference System (FIS) is proposed.
This paper presents the design and implementation of a fuzzy logic based Expert System for Diagnosis of Diabetes. Pima
Indian diabetic dataset is used as data set for designing the FIS. The proposed Expert System for diagnosis of diabetes is
more accurate as compare to other existing approached present in the literature

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Published

2017-09-25

How to Cite

Hanslal Prajapati, Anurag Jain, & Sanjay Kumar Pal. (2017). An Enhance Expert System for Diagnosis of Diabetes using Fuzzy Rules over PIMA Dataset. International Journal of Advance Engineering and Research Development (IJAERD), 4(9), 225–230. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/3634

Issue

Vol. 4 No. 9 (2017): Volume 4 Issue 9 SEPTEMBER 2017

Section

Articles