📄 IJAERD-OJS-3634
An Enhance Expert System for Diagnosis of Diabetes using Fuzzy Rules over PIMA Dataset
| Author(s) | : | Hanslal Prajapati, Anurag Jain, Sanjay Kumar Pal |
| Institution | : | Department of Computer Science and Engineering Radharaman Institute of Technology and Science, Bhopal, India |
| Published In | : | Vol. 4, Issue 9 — September 2017 |
| Page No. | : | 225-230 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
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. PimaIndian diabetic dataset is used as data set for designing the FIS. The proposed Expert System for diagnosis of diabetes ismore accurate as compare to other existing approached present in the literature
🕮 How to Cite
Hanslal Prajapati, Anurag Jain, Sanjay Kumar Pal, “An Enhance Expert System for Diagnosis of Diabetes using Fuzzy Rules over PIMA Dataset”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 9, pp. 225-230, September 2017.
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