Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Air Conditioning System
Arshdeep Kaur¹, Amrit Kaur^2
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.