1.
Approach to Incremental Updating Approximations Based on Set-valued Information System
集值粗糙集模型的近似集增量更新方法研究
2.
A New Brief Proof of the Properties of the Upper Approximation in a Group;
群中上近似集性质的一种新的简洁证法
3.
The Equivalence of Subconvexlike Set-Valued Map and Nearly Subconvexlike Set-Valued Map;
次似凸、近次似凸集值映射的等价性
4.
Similarity Degree, Pseudo-metric and Approximate Reasoning in Propositional Logic System;
命题逻辑公式集上的相似度、伪距离与近似推理
5.
Set approximation and its interpretation on vagueness based on similarity relations
基于相似关系的集合近似及其含糊性解释
6.
Another Definition of Fuzzy Rough Sets on Fuzzy Approximation Space;
模糊近似空间中模糊粗糙集的新定义
7.
Approximate method of system uncertainty based on singular rough sets
S-粗集系统不确定性的近似处理方法
8.
Approximate Approach to Train SVM on Very Large Data Sets
面向超大数据集的SVM近似训练算法
9.
Approximation Accuracy Function of One Direction S-rough Sets and Its-Characteristic of Dependency
单向S-粗集近似精度函数和依赖特性
10.
Approximate Aggregation of Time-Varying Data in P2P Networks
P2P网络中时变数据的近似聚集方法
11.
Angle-domain common image gathers based on Born approximation
基于Born近似的角度域共成像点道集
12.
Bidirectional approximate reasoning based on distances of Vague set
基于Vague集间距离的双向近似推理
13.
The key of the rough set theory is deal with the approximation of an arbitrarysubset of a universe by two subsets called lower and upper approximations.
粗糙集理论的关键是建立两个被称为下、上近似的子集来近似表示论域上的任意集合.
14.
first approximation
第一次近似;第一近似值;初步近似;一次近似值;一级近似;首次近似
15.
Intuitionistic Fuzzy Sets Applied in Approximate Reasoning and Decision-Making;
直觉模糊集在近似推理与决策中的应用
16.
Convexificators and Approximate Generalized Hessian Matrices for the Directionally Differentiable Functions;
凸化集与方向可微函数的近似广义海森矩阵
17.
Attribute Reduction Based on Relations and Set Approximations in Concept Lattices;
基于关系的概念格属性约简及集合近似
18.
Application of Approximate Technology in Temporal Count and Sum Aggregation;
近似技术在时态计数及求和聚集计算中的应用