This adaptive fuzzy controller is based on fuzzy inference rules self-learning without needing so much expert control rules, which solves the problem of acquiring MIMO fuzzy inference rules.
这种自适应模糊控制器基于模糊推理规则自学习和自调整的控制算法，无需知道太多的专家控制规则，因此解决了制冷系统MIMO模糊推理规则难以获取的问题。
The standard value of the tested software to pass the test was then obtained from the fuzzy control relation and fuzzy inference rules, thus quantifying the judgment for software to pass the test.
基于这种模糊控制关系和模糊推理规则，得到了被测软件通过测试的标准值，使测试通过的判定得以量化；
The hybrid inference mechanism included dynamic fuzzy comprehensive evaluation and production rules obviously improves the veracity of the forecast results.
并将模糊综合评判与产生式规则融合，利用复合的推理机制提高预测结果的准确性。
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