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度量复杂性
相关语句
  相似匹配句对
     Program Complexity Metrics
     程序复杂性度量
短句来源
     Software Design Complexity Metrics
     软件设计复杂性度量
短句来源
     Complexity and post-modernism(Part Ⅰ)
     复杂性和后现代主义(上)
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     Financial Complexity
     金融复杂性
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     Measurement of Convexity
     凸性的度量
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  metric complexity
First, we give the exact estimate of the metric complexity, in the generic 3-dimensional case.
      
Several notions characterize the ε-optimality of the approximation: the "metric complexity" MC and the "entropy" E (Kolmogorov-Jean).
      


Based on the theory of metric complexity for linear systems, this paper studies the modeling complexity of a class of consumption systems via a mechanism model of the consumption process. By use of the concept of Kolmogorov n width and identification n width in the theory of metric complexity, both the modeling error of a class of econometric models and the relation between identification error and the amount of identification information are obtained. In addition, the robustness of the econometric model with...

Based on the theory of metric complexity for linear systems, this paper studies the modeling complexity of a class of consumption systems via a mechanism model of the consumption process. By use of the concept of Kolmogorov n width and identification n width in the theory of metric complexity, both the modeling error of a class of econometric models and the relation between identification error and the amount of identification information are obtained. In addition, the robustness of the econometric model with respect to its order and identification information is also verified.

本文基于线性系统的度量复杂性理论,通过描述消费过程的一个机理模型,研究了一类消费系统的建模复杂性问题.利用系统量度复杂性理论中的Kolmogorovn-宽度和辨识n-宽度等概念,给出一类经济计量模型的建模误差及辨识误差与观测信息多少之间的关系,并证明了此类经济计量模型关于模型阶数和观测信息多少具有一定的鲁棒性.

Classes are the basic modules in a oriented-objected software,which consist of attributes and methods.Measuring the class cohesion is the measuring extent of relativity for the attributes and methods of a class.According to classifying attributes and methods,analyzing their relationships with state graph of the same class,this paper defines the core of a class and proposes a novel approach to measuring the class cohesion based on state-dependence.Our approach not only benefit overcome the judging mistiness and...

Classes are the basic modules in a oriented-objected software,which consist of attributes and methods.Measuring the class cohesion is the measuring extent of relativity for the attributes and methods of a class.According to classifying attributes and methods,analyzing their relationships with state graph of the same class,this paper defines the core of a class and proposes a novel approach to measuring the class cohesion based on state-dependence.Our approach not only benefit overcome the judging mistiness and complexity about measuring the class cohesion,but also can be conducted during design.

类是面向对象软件中的模块,包含属性和方法。类内聚度量是对类属性和方法相关程度的度量。通过对类方法和属性的分类及其与类状态之间的关系分析,提出了类核的概念和状态依赖的类内聚度量方法。该方法有利于克服类内聚度量复杂性和判断模糊性问题,并可以在设计阶段对类的内聚进行度量。

Because of the complexity and uncertainty in IT projects,it is hard to accurately measure the risk level of risk factors.To better evaluate the level of risk factors in IT projects,the Dempster-Shafer's evidence theory is applied to deal with the uncertainty of the risk factors.This method can syncretize the judgments of experts to reduce the complexity of measuring risk factors and evaluate the level of the risk factor,by which some measures may be adopted to evade risk or decrease the effect of the risk factor...

Because of the complexity and uncertainty in IT projects,it is hard to accurately measure the risk level of risk factors.To better evaluate the level of risk factors in IT projects,the Dempster-Shafer's evidence theory is applied to deal with the uncertainty of the risk factors.This method can syncretize the judgments of experts to reduce the complexity of measuring risk factors and evaluate the level of the risk factor,by which some measures may be adopted to evade risk or decrease the effect of the risk factor with limited resources.

IT项目因其复杂性、不确定性等特点,难以准确度量风险因素的风险等级。为了更好地评估IT项目风险因素的风险等级,本文引入证据理论来处理风险因素的不确定性,融合专家的评判来减少风险因素度量的复杂性,评估出风险因素的等级。在资源有限的情况下,采取相应措施来规避风险或减少风险因素的影响。

 
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