Abstract | ||
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In this study, we analyzed the fuzzy approximate reasoning using t-norm calculation. We apply theoretical results to fuzzy optimal control. The input of the IF-THEN rules is conducted using fuzzy numbers instead of crisp numbers. We concluded that there is continuity in approximate reasoning, as well as compactness in the set of membership functions for fuzzy inference. In addition, the existence of a minimum value of the function that evaluates non-linear control is presented. |
Year | DOI | Venue |
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2015 | 10.1109/ICCIS.2015.7274550 | 2015 IEEE 7th International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM) |
Keywords | Field | DocType |
approximate reasoning continuity,fuzzy number,Łukasiewicz t-norm,fuzzy approximate reasoning,t-norm calculation,fuzzy optimal control,IF-THEN rules,membership functions,fuzzy inference,function minimum value,nonlinear control | Applied mathematics,Mathematical optimization,Fuzzy classification,Defuzzification,Control theory,Fuzzy set operations,Fuzzy mathematics,Fuzzy set,Fuzzy number,Type-2 fuzzy sets and systems,Membership function,Mathematics | Conference |
ISSN | ISBN | Citations |
2326-8123 | 978-1-4673-7337-1 | 0 |
PageRank | References | Authors |
0.34 | 3 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Takashi Mitsuishi | 1 | 18 | 11.15 |
Nami Shimada | 2 | 0 | 1.01 |
Toshimichi Homma | 3 | 1 | 1.89 |
Mayumi Ueda | 4 | 24 | 3.60 |
Masayuki Kochizawa | 5 | 0 | 0.34 |
Yasunari Shidama | 6 | 166 | 72.47 |