Variable precision rough sets model based on(α,τ) limited similarity relation 基于(α,τ)限制相似关系的变精度粗糙集模型
Improvement of nonsymmetrical similarity relation under incomplete information system 不完备信息系统下非对称相似关系的改进
In this paper, the concept of non-symmetric similarity relation had been used to formulate a new definition of approximation to an incomplete information system. 定义了非对称相似关系的近似集概念,提出了一种利用非对称相似关系下近似集和属性值对的基于粗糙集的确定规则推理算法。
The Topology Defined by Similarity Relation on Propositional Set; Similarities between the Guangdong Heaven-Earth Society Revolt and the Taiping Revolt 命题集F(S)基于相似关系定义的拓扑广东天地会起义与太平天国起义相似性新探
A Knowledge Acquisition Algorithm Based on the Similarity Relation in Decision Systems 基于相似关系的决策系统的知识获取算法
Rough set model based on general similarity relation in incomplete information systems 广义相似关系下的不完备信息系统粗糙集模型
Theoretical study on similarity relation of vibroplatform test model and original mold 振动台试验模型和原型相似关系的理论研究
A constrained similarity relation as a new extension of rough sets theory is introduced, and the concepts of the positive region, accuracy of approximation, quality of approximation and dependency of attributes defined on constrained similarity relation are proposed. 还提出了基于这种关系的上近似和下近似概念,以及正区域、近似精度、近似质量和依赖关系等相关概念。
A hierarchical system structure model of space distribution of land resources based on fuzzy similarity relation 基于模糊相似关系的土地资源空间分布系统递阶结构模型
Rough set models based on α-identical degree similarity relation 基于α相同度相似关系的rough集模型
The presentation of rough set based on similarity relation expands the application scope of rough set theory, but one can not distinguish positive similarity or negative similarity in the elements of similarity class. 基于相似关系粗糙集的提出,扩大了粗集理论的应用范围。但对于相似类中的元素无法区分正相似或负相似。
The fuzzy knowledge acquirement is one of the key problems for fuzzy information processing. Based on fuzzy similarity relation and general knowledge, this paper introduces a kind of method for acquiring fuzzy knowledge including fuzzy concept and fuzzy rules. 模糊知识获取是模糊信息处理的关键环节之一.本文介绍一种基于模糊相似关系和普通知识的模糊知识(包括模糊概念和模糊规则)获取方法。
Firstly, we discuss the exact reduction and the approximate reduction in a concept lattice by means of the similarity relation. 第一部分利用相似关系研究模糊概念格的精确约简与近似约简。
Similarity matrix is defined and the one-to-one relation between similarity relation and similarity matrix is constructed. Rough computation based on similarity relation is executed through similarity matrix computation. 定义了相似矩阵,建立了相似关系与相似矩阵之间的一一对应关系,通过相似矩阵的计算来刻画基于相似关系的粗计算。
A low risk decision algorithm based on similarity relation rough set 一种基于相似关系粗糙集的低风险决策算法
A new placement algorithm based on the fuzzy similarity relation and a modified fuzzy c-means clustering method are presented. 根据这个模糊相似关系和经过修改的模糊c-划分聚类分析方法,本文提出了一种新的自动布局算法。
A rough set model based on fuzzy similarity relation for incomplete information systems containing continuous attributes was extended. 在模糊相似关系的基础上,针对具有连续属性的不完备信息系统提出了Rough集的扩展模型;
Not only does the extension reserve the advantage of limited tolerance relation, but also it deserts the disadvantage of tolerance relation, similarity relation and limited tolerance relation. 该种模型既保留了限制容差关系扩充模型的优点,又丢弃了容差关系、相似关系和限制容差关系扩充模型的不足。
With respect to extension of rough set theory under incomplete information systems, rough set modal based on class similarity relation is proposed in this thesis, this modal can reclassify to objects through equivalence partition of domain values. 在不完备系统下的粗糙集理论的扩充方面,提出了一种类相似关系的粗糙集模型,该模型通过对域值的等价划分,可对对象进行重新分类。
Now there are several extensions for incomplete information system, such as extensions based on tolerance relation, similarity relation, or limited tolerance relation. 目前对不完备信息系统的扩充主要有基于容差关系、基于相似关系和基于限制容差关系等方法。
But, the theory based on indiscernibility relation or similarity relation can not handle the decision problems with criterion. 但是,基于不可分辨关系或相似关系的传统粗糙集方法不适于解决带有准则的决策分析问题。
Rough computation and reduction based on similarity relation are researched. 研究了相似关系的粗计算及知识约简。
The niche theory discusses the similarity relation between biont and enterprise from the perspective of enterprise bionic, providing a new perspective and thinking for the research of enterprises bionic management model. 生态位理论从企业仿生的视角论述了企业与生物之间的相似关系,为企业仿生管理模式研究提供了一种新的视角和研究思维。
By defining appropriate matrices, rules extraction approaches for maximum distribution and assignment rules based on general binary relation, the upper/ lower approximation rule extraction based on tolerance and similarity relation are studied. 通过定义适当的矩阵,提出了基于一般二元关系的最大分布规则、分配规则、基于相容关系的上下近似规则和基于相似关系的上下近似规则的矩阵算法。
Relations such as tolerance, non-symmetric similarity relation and limited tolerance relation, the contact model, the variable precision the dynamic model of tolerance. 例如容差关系模型,非对称相似关系模型,限制容差关系模型,联系度模型,变精度动态容差模型等。
After analyze some kinds of extensions to the classical rough set theory, a new extension of rough set model based on limited non-symmetric similarity relation is developed. 为此,在分析研究已有的扩充粗糙集理论模型的基础上,进一步提出基于限制非对称相似关系的扩充粗糙集模型。
Transitive closure clustering algorithm based on dynamic fuzzy equivalence relation and maximal tree clustering algorithm based on dynamic fuzzy similarity relation are compared. 对各种算法的优缺点进行了阐述,对基于动态模糊等价关系的传递闭包聚类法和基于动态模糊相似关系的最大树聚类算法进行了比较,用理论证明了两种聚类分析算法的等价性。
Finally, we make research on the establishing rules of Ontology and established a ontology in the field of school, and realised the experimental prototype on this basis, verifying the effectiveness and performance of the multi-angle similarity relation calculating methods. 最后研究了本体的建立规则,建立了一个学校领域本体库,并在此基础之上实现了实验原型,验证了多角度相似性关系计算算法的效果和性能。
Similarity relation of attributes in formal context is proposed, reduction characterization and reduction approach of attributes are discussed in concept lattice. Based on the similarity relation of attributes and topology structure of the set of attributes, a method of formal concept generation is given. 提出了概念格中属性的一种相似关系,讨论了概念格中形式概念的属性约简特征和约简方法,基于属性相似关系及属性集的拓扑结构提出了一种形式概念生成的方法。
For incompletely decision table, based on the generalization similarity relation, equivalent characterization conditions and reduction judging theorems of distribution consistent set and positive region consistent set are given; methods of distribution reduction and positive region reduction are given by discernibility matrix and discernibility function. 4. 针对不完备决策表,本文基于广义相似关系,给出了分配协调集与正域协调集的等价刻画条件及约简判定定理,借助区分矩阵与区分函数给出了分配约简与正域约简的计算方法。