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An Overview of Fuzzy Inference Algorithms | ||
| International Journal of Smart Electrical Engineering | ||
| دوره 09، شماره 04، زمستان 2020، صفحه 165-167 اصل مقاله (617.56 K) | ||
| 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 | ||
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آمار تعداد مشاهده مقاله: 16 تعداد دریافت فایل اصل مقاله: 35 |
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