An Overview of Fuzzy Inference Algorithms

International Journal of Smart Electrical Engineering

دوره 09، شماره 04، اسفند 2020، صفحه 165-167   

نوع مقاله: Research Paper

نویسنده

Omid Feizollahzade^*

Department of Electrical Engineering, Central Tehran Branch, Islamic Azad University, Tehran

چکیده

A fuzzy inference system is a mapping of input-to-output space implemented using membership functions and fuzzy rules. Intelligent, control and decision making is one of the most important fuzzy inference algorithms. Mamdani and Sugno fuzzy inference algorithms are examined and their advantages and disadvantages are stated.

کلیدواژه‌ها

Fuzzy logic؛ fuzzy inference system؛ Mamdani inference algorithm؛ Takagi Sugeno inference algorithm