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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 rule extraction 模糊规则抽取
- fuzzy rules extraction 模糊规则提取
- 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。
- 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。
- 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。
- 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。
- 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。
- 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。
- Sandor Mizik,Peter Baranyi,Peter Korondi.Widely popular cases of fuzzy rule interpolation techniques[J ].1999 IEEE International Fuzzy System Conference Proceedings,1999. 范昭赋;孙吉贵;杨凤杰.;模糊控制中近似推理的插值模型[J]
- 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。
- Then, the antecedence and consequence of a fuzzy rule are referred to as a combination of linguistic values and the corresponding utility of the antecedent part, respectively. 此外，产品的意义并不限定为实物，而是广泛的解释为一切可被评估之对象。
- We made use of the fuzzy theories to C-means algorithm again is for increasing classifications classification rate,The differentia is that fuzzy theories were used for fuzzy rule. 为了提高分类器的分类率,再一次把模糊的思想引入C-均值算法,构成双重模糊C-均值算法的分类器,所不同的是把模糊化思想引入到分类规则上。
- 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。
- H. Ishibuchi, T. Nakashima, T. Murata, “Three-objective genetics-based machine learning for linguistic rule extraction,” Information Science, Vol. 136, 2001, pp.109-133. 周威良，晶圆制造厂模糊逻辑派工策略之研究，硕士论文，国立台北科技大学生产系统工程与管理研究所，台北，1999。
- 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。
- This algorithm is called the BAB-BB rule extraction algorithm, which stands for a Boolean algebra based rule extraction algorithm for neural networks with binary and bipolar inputs. 这种演算法称为BAB-BB规则撷取演算法，代表布林代数为基的规则撷取演算法应用于二进制和二极输入的类神经网路。
- In this paper, a fuzzy rule inconsistency resolution and insertion method is proposed on a fuzzy neural network, named Knowledge-Based Neural Network with Trapezoidal Fuzzy Set inputs (KBNN/TFS). 在这篇论文中，针对一个梯形模糊集合输入的类神经网 路知识库系统(KBNN/TFS)提出模糊规则之验证、不一致规则 化解以及加入新规则的方法。
- In this paper, the text feature dimensions reduction and text categorization rule extraction using decision tree are investigated, and some new KNN algorithms are represented for text categorization. 本文主要研究了文本特征空间的降维问题、利用决策树抽取文本分类规则问题和改进KNN算法以适应文本分类问题。
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