基于模糊逻辑，无偏最小方差估计(UMVE)和单元平均(CA)提出一种新的恒虚警检测器(FUCAP)。

False Alarm Rate (CFAR) detector (FUCAP) based on Fuzzy logic, Unbiased Minimum-Variance Estimation (UMVE) and Cell Averaging (CA) is presented in this paper.

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模糊逻辑控制用来估计系统未知的不确定性因素，并同时保证了闭环系统在变结构控制到达阶段的鲁棒性。

The frizzy logic control is used to estimate the unknown uncertainties, and guarantees the robustness of the closed-loop system in the reaching phase synchronously.

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在分析了目前的拥塞控制算法的基础上，将随机估计学习算法(SELA)和模糊逻辑的知识引入拥塞控制，提出了新的拥塞控制模型。

Based on analysis of the current congesting algorithm, a new congesting control mechanism is proposed, which employs SELA (stochastic estimator learning algorithm) and fuzzy logic controller.

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在分析了目前的拥塞控制算法的基础上，将随机估计学习算法(SELA)和模糊逻辑的知识引入拥塞控制，提出了新的拥塞控制模型。

Based on analysis of the current congesting algorithm, a new congesting control mechanism is proposed, which employs SELA (stochastic estimator learning algorithm) and fuzzy logic controller.

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