Comparative Analysis of Membership Function on Mamdani Fuzzy Inference System for Decision Making
| Autor: | Putri harliana, Robbi Rahim |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
History Singleton business.industry Gaussian 02 engineering and technology Interval (mathematics) Sigmoid function Function (mathematics) Computer Science Applications Education symbols.namesake 020901 industrial engineering & automation Data point 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Artificial intelligence business Membership function Variable (mathematics) Mathematics |
| Zdroj: | Journal of Physics: Conference Series. 930:012029 |
| ISSN: | 1742-6596 1742-6588 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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