Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Air Conditioning System
Arshdeep Kaur1, Amrit Kaur2
1Arshdeep Kaur, University College of Engineering, Punjabi University, Patiala, India.
2Amrit Kaur, University College of Engineering, Punjabi University, Patiala, India.
Manuscript received on April 11, 2012. | Revised Manuscript received on April 14, 2012. | Manuscript published on May 05, 2012. | PP: 323-325 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0612042212/2012©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: Fuzzy inference systems are developed for air conditioning system using Mamdani-type and Sugeno-type fuzzy models. The results of the two fuzzy inference systems (FIS) are compared. This paper outlines the basic difference between the Mamdani-type FIS and Sugeno-type FIS. It also shows which one is a better choice of the two FIS for air conditioning system.
Keywords: Air Conditioning, Fuzzy Inference System (FIS), Fuzzy Logic, Mamdani.