Robustness of Adaptive Neuro- Fuzzy Inference System for Optimal Prediction using Roulette Wheel Method
D. Kalpanadevi
Dr. D. Kalpanadevi, Assistant Professor, Department of Computer Science, SRM Trichy Arts and Science College, Trichy, Tamil Nadu, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 380-384 | Volume-8 Issue-5, January 2020. | Retrieval Number: E4951018520/2020©BEIESP | DOI: 10.35940/ijrte.E4951.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: An information system that supports automatic decision making with help of intelligent system by computerized manner. The proposed work has been developed and deployed a robust method is contributed to decision making in medical system and the diagnosis the major risk of the patients in earlier. The main goal of the proposed research is to develop data mining techniques to support decision making and to control the controllable risk factors and also overcome the other parts of organs highly affected by diabetes, kidney disease, heart condition and which in turn reduces the risk of the patients. Robustness of Adaptive Neuro-Fuzzy Inference System (RANFIS) designed a fuzzy inference system (FIS) to enrich the knowledge about the data set whose membership function parameters can be altered randomly by the process of mutation.
Keywords: Adaptive Neuro-Fuzzy genetic hybridization Inference System, Fuzzy inference System, Diabetes, kidney test, heart pump test, decision making.
Scope of the Article: System Integration.