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1)  interval multiple attribute decision making
区间数多属性决策
1.
This article on how to improve learner\'s learning efficiency, to achieve personalized learning problem, a Bayesian approach and interval multiple attribute decision making methods of adaptive learning decision-making system, and the system structure, function and methods to achieve a preliminary note.
该文对如何提高学习者的学习效率,实现个性化学习的问题,提出了基于贝叶斯方法和区间数多属性决策方法的适应性网络学习决策系统,并对该系统的结构、功能和实现的方法进行了初步说明。
2)  Interval multi-attribute decision-making
区间多属性决策
1.
Interval multi-attribute decision-making takes up a significant part in multi-attribute decision-making.
区间多属性决策是多属性决策问题的重要组成部分,有关此方面的理论研究已经取得了丰硕的成果,但是由于人们对这方面的研究起步较晚,有的理论还不完善,有待于近一步地研究。
3)  interval multiple attribute decision-making
区间型多属性决策
4)  multi-attribute decision
多属性决策
1.
An intelligent shopping system based on multi-attribute decision and collaboration filtering;
基于多属性决策和协同过滤的智能导购系统
2.
The algorithm applied multi-attribute decision theory to selecting matching section,and overcame the shortcomings of the original algorithm.
算法采用多属性决策方法对匹配路段进行选择,改进了原算法在选择匹配路段中的一些弊端,提高了地图匹配的准确度。
3.
Taking driving plan as a multi-attribute decision with preference information,using rough sets,the indiscernibility relation is replaced by a dominance relation.
将驾驶员模糊多目标轨迹决策模型看成是一个具有偏好信息的多属性决策问题,用优势关系代替不可分辨关系,并通过优势属性集来推理决策规则,从而确定各预期轨迹点的排序。
5)  Multi-attribute decision-making
多属性决策
1.
Application of uncertain multi-attribute decision-making to task assignment;
不确定多因素下的多属性决策在任务分配中的应用
2.
Singular-objective optimization method of uncertain multi-attribute decision-making;
不确定多属性决策的单目标优化方法研究
3.
Monte Carlo method for interval multi-attribute decision-making;
区间数多属性决策的Monte Carlo方法
6)  multi-attribute decision making
多属性决策
1.
New method for multi-attribute decision making based on vague set——projection method;
基于Vague集的多属性决策新方法——投影法
2.
Probability measure of interval-number based on normal distribution and multi-attribute decision making;
基于正态分布区间数的概率测度及多属性决策
3.
Method of grey matrix relative degree for dynamic hybrid multi-attribute decision making under risk;
风险型动态混合多属性决策的灰矩阵关联度法
补充资料:区间
表示实变量x的取值范围。设a、b是两个实数,且a<b,满足a<x<b的实数x的集合记为(a,b)或]a,b[,称为开区间;满足a≤x≤b的实数x的集合记为[a,b],称为闭区间。满足a≤x<b或a<x≤b的实数x的集合,分别记为[a,b)、[a,b[或(a,b]、]a,b],称为半开半闭区间。
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参考词条