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Comparative Analysis of Membership Function on Mamdani Fuzzy Inference System for Decision Making

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Published under licence by IOP Publishing Ltd
, , Citation Putri harliana and Robbi Rahim 2017 J. Phys.: Conf. Ser. 930 012029 DOI 10.1088/1742-6596/930/1/012029

1742-6596/930/1/012029

Abstract

Membership function is a curve that shows mapping the input data points into the value or degree of membership which has an interval between 0 and 1. One way to get membership value is through a function approach. There are some membership functions can be used on mamdani fuzzy inference system. They are triangular, trapezoid, singleton, sigmoid, Gaussian, etc. In this paper only discuss three membership functions, are triangular, trapezoid and Gaussian. These three membership functions will be compared to see the difference in parameter values and results obtained. For case study in this paper is admission of students at popular school. There are three variable can be used, they are students' report, IQ score and parents' income. Which will then be created if-then rules.

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