| タイトル | How to control if even experts are not sure: Robust fuzzy control |
| 本文（外部サイト） | http://hdl.handle.net/2060/19930015953 |
| 著者（英） | Kreinovich, Vladik YA.; Tolbert, Dana; Nguyen, Hung T.; Lea, Robert |
| 著者所属（英） | NASA Johnson Space Center |
| 発行日 | 1992-01-01 |
| 言語 | eng |
| 内容記述 | In real life, the degrees of certainty that correspond to one of the same expert can differ drastically, and fuzzy control algorithms translate these different degrees of uncertainty into different control strategies. In such situations, it is reasonable to choose a fuzzy control methodology that is the least vulnerable to this kind of uncertainty. It is shown that this 'robustness' demand leads to min and max for &- and V-operations, to 1-x for negation, and to centroid as a defuzzification procedure. |
| NASA分類 | CYBERNETICS |
| レポートNO | 93N25142
NASA-TM-108745
NAS 1.15:108745 |
| 権利 | No Copyright |
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