Comparison of Constant SUGENO-Type and MAMDANI-Type Fuzzy Inference System for Load Sensor
Vandna Kamboj1, Amrit Kaur2
1Vandna Kamboj, Pursuing Mtech, University College Of Engineering, Patiala, Punjab, India.
2Amrit Kaur, Punjabi University, Patiala (Punjab), India.
Manuscript received on April 05, 2013. | Revised Manuscript received on April 28, 2013. | Manuscript published on May 05, 2013. | PP: 204-207 | Volume-3, Issue-2, May 2013. | Retrieval Number: B1498053213/2013©BEIESP
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© The Authors. Published By: 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: Load sensor is developed using mamdani fuzzy inference system and sugeno fuzzy inference system. It is two input and one output sensor. Both mamdani-type fuzzy inference system and sugeno-type fuzzy inference system are simulated using MATLAB fuzzy logic toolbox. This paper outlines the basic difference between these two fuzzy inference system and their simulated results are compared.
Keywords: Fiber Bragg Grating sensor, fuzzy inference system (FIS), fuzzy logic, mamdani, sugeno, windmill blades.