COMPARISON OF MAMDANI & SUGENO TYPE FUZZY INFERENCE SYSTEM ON ENROLLMENT DATASETS
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 5, Issue 5
Abstract
As the Application of Computer is increasing day by day. Computers are also used in the field of Business Analysis and Forecasting. There is various approaches in the field of forecasting. Fuzzy logic is the branch of Soft Computing that is widely used in the field of forecasting. Fuzzy Inference System is used to map inputs to outputs. In this Paper both the Mamdani and Sugeno model of Fuzzy Inference System are compared based on Performance and Error Rate.
Authors and Affiliations
Mr. Vinay Barod
Keywords
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- EP ID EP90662
- DOI 10.5281/zenodo.51907
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