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- Two methods for text categorization fuzzy rule extraction are presented based on fuzzy decision tree. 本文提出了两种基于模糊决策树的模糊文本分类规则抽取方法。
- fuzzy rules extraction 模糊规则提取
- fuzzy rule extraction 模糊规则抽取
- Its idea is that,based on a general approach for edge extraction by fuzzy inference,some special knowledge is integrated into a fuzzy rule base to recognize white lines or edges on roads for robot motion. 该方法是在模糊推理提取图像边沿的通用算法基础上，结合了道路知识来识别机器人在运动时所需要的道路白线或道路边沿。
- But, there still exists two bottlenecks in design of FLC: One is the choice and optimization of fuzzy rules. 但是，在模糊控制器的设计过程中仍然存在两个瓶颈问题：一是模糊控制规则的选取和优化。
- By combination of expert experience and fuzz y identification, the fuzzy rules become more reliable. 在建立模糊规则时，应用了专家经验与模糊辨识相结合的方法，使规则更加合理可信。
- A three layer human behavior model based on the fuzzy rule is first proposed for one vs. 针对双机格斗空战,提出了一种基于模糊规则的三层行为模型,并运用遗传算法对底层飞行状态模糊控制器进行了优化。
- This extraction rule extracts the value from a specified input field. 该提取规则从指定的输入字段中提取值。
- With the help of concatenated-encoding method, the parameters of fuzzy rules and membership functions can be simultaneously optimized by this improved IGA. 在模糊规则和隶属度函数联合编码基础上，通过上述改进型免疫遗传算法实现模糊控制器参数的同步优化。
- Intensive researches on knowledge has been done. Fuzzy rules have been designed to work in this Active Lime Product Line Security Control System. 该系统注重对作为知识获取来源的知识源本身的研究，依照工业规范，设计模糊控制规则，用于构建活性石灰生产线安全智能监控系统。
- After analyzing the three metrics of rules：support，confidence，coverage，this paper quantifies them and proposes an algorithm for rules extraction. 分析规则的三个度量标准：支持度、置信度、覆盖度，对其进行量化，并提出一规则提取算法。
- Through FIS, the input information position and ratio are fuzzed, fuzzy rules are established, and then obtain the accurate path output. 运用模糊推理将障碍位置信息与其沿某一方向运动的比例信息模糊化，建立模糊规则并解模糊最终获得精确路径输出。
- Firstly, a initial fuzzy logic navigation system has been constructed by designing fuzzy rules and transcendent value of action. 通过设计模糊规则并确定动作先验值，完成初始模糊导航系统的构建。
- Then rule extraction from inconsistent decision tables is realized by comparing the decision matrix and the matrix determined by condition attr... 粗集理论的研究对象是一个二元信息表,称为信息系统。
- The shapes and rotations of the membership functions in each fuzzy rule are learned by the Genetic Algorithm. 基因法则主要是学习每一模糊法则中归属函数的外型与旋转角度。
- Focusing on incomplete decision-making table，a new ameliorated method about optimized rules extraction specifically for incomplete decision-making table is brought forward. 针对不完备决策表，通过引入广义决策函数，提出了一种不完备决策表的最优规则提取方法。
- The UCI (University of California Irvine) machine learning data were used to analyze and verify the rule extraction method. 并用UCI（加利福尼亚大学埃尔文分校）机器学习数据对方法进行了分析和验证。
- A kind of fuzzy model with nonlinear adjustable parameter was employed to approximate uncertrainties,and the model administered to reducing the number of the fuzzy rules. 为充分利用有限的模糊规则 ,采用非线性可调参数模糊模型。
- The fuzzy event base and active fuzzy rule base should be established to accomplish the active service function of active fuzzy database. 实现主动模糊数据库的主动服务功能 ,必须建立相关的模糊事件库与主动模糊规则库。
- Based on extension matrix formed on positive and negative examples, we set up the integer-programming model (IPM) for optimal rule extraction and feature subset selection. 与传统的启发式算法相比，采用遗传算法求解的规划模型可以找到多个全局最优解以及可行解。
