• A method of selecting decision rules is presented.

    并提出了规则选取方法。

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  • The fuzzy subordinate function and fuzzy decision rules are determined by W.

    由W确定模糊隶属函数及模糊判决规则。

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  • An approach of reduction decision table is proposed to induce decision rules.

    并在此基础上,给出了一种决策表的简化方法,推导出决策规则。

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  • The second part is the introductions of the foreign pre-trial procedural decision rules system.

    第二部分为国外刑事审前程序性裁判制度简介。

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  • Express decision rules with increased precision, using a natural language business vocabulary syntax.

    使用一种自然的业务语言词汇语法更精确地表达决策规则。

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  • Therefore, it is necessary to perform feature reduction for the decision rules of shot boundary.

    因此,有必要对镜头边界检测的规则进行特征约简。

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  • How to find decision rules directly from such an incomplete information decision table is also discussed.

    对如何直接从这种不完备信息表上找决策规则的方法也进行了讨论。

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  • The whole construction process will be managed by brainpower if every activity has its own decision rules.

    如果对整个施工过程的每道工序都提出决策规则,就可以实现施工过程的智能化管理。

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  • So, along with further studies of RS, decision rules mining in decision table by using RS has become a hotspot.

    因此,随着对粗糙集理论的深入研究,利用粗糙集进行决策表中的决策规则挖掘便成了一个热点课题。

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  • According to the lower and upper approximations, decision rules can be divided into certain and possible rules.

    根据粗糙集上下近似的概念,决策规则能够分成确定性规则和可能性规则两种。

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  • A simple example is used to illustrate their fitness to evaluate rough decision rules retrieved from noisy data.

    通过举例分析,说明它们更适于评价从有噪声数据中提取的粗糙决策规则。

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  • The global optimal multi-sensor data fusion system and the local optimal decision rules are studied, respectively.

    研究了全局最优融合系统以及局部传感器的最优判决准则。

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  • The ascertainment of the core attribute set is the important process for discovering decision rules from mass data.

    核属性集的确定是从海量数据中发现决策规则的重要步骤。

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  • Decision inference of the extended decision rules was implemented using fuzzy CRI (compositional rule of inference).

    用关系合成的模糊推理方法,实现了扩展决策规则集的决策推理。

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  • In order to optimize the system performance, the fusion rule and the sensor decision rules must be optimized jointly.

    为了使系统检测性能达到最优,需要对融合规则及各部传感器的判决规则进行全局最优化。

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  • The algorithm constructs decision tree using an improved ID3 algorithm, and fills the missing data by decision rules.

    该算法应用改进的ID 3算法来构造决策树,利用决策规则对缺失值进行补充。

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  • Uncertainty will always be encountered in the design of DSS, especially in building decision modeling or decision rules.

    DSS的设计中,决策模型或决策规则的构建都经常的涉及不确定性问题。

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  • A new method was developed to find the decision rules in a rough set model based on the variable precision rough set model.

    为解决辐射源识别的问题,研究了变精度粗糙集模型生成规则。

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  • The evaluation of the uncertainty of rough decision rules retrieved from a given data set needs proper uncertainty measures.

    由已知数据中产生的粗糙决策规则往往具有不确定性,需要适当的不确定性量度。

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  • A new set of decision rules which can be used for any situation is developed according to the basic principle of this method.

    本文从内部收益率基本原理出发,建立了一套适用于任何情况下使用内部收益率的决策准则。

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  • A model of the fault diagnosis and decision rules acquisition for large rotating machinery based on Rough set is put forward.

    提出一种基于粗糙集理论的大型旋转机械故障诊断和知识获取模型。

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  • To optimize the system performance, the fusion rule at fusion center and the decision rules at all the sensors must be globally optimized.

    为了使系统性能达到最优,需要对融合中心的融合规则及各部传感器的判决规则进行全局最优化。

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  • Testing-decision rules should beintegrated through real-time computerization, so doctors can see the evidenceevery time they consider ordering a test.

    是否进行检查的规定应该实时计算机化,这样医生就能够在考虑是否要检查时看到相关数据。

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  • Based on rough sets and evidence combining theory, a general method of extracting the extension decision rules of probability information system is given.

    使用粗糙集和证据合成理论中的方法,给出了获取概率信息系统的扩展决策规则集的一般方法。

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  • The necessary conditions for optimal sensor decision rules are derived, and a numerical algorithm is designed for finding the optimal sensor decision rules.

    在非理想信道条件下,推导了两部传感器的最优判决规则,并给出了求解最优判决规则的数值迭代算法。

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  • Furthermore, a new algorithm for rule extraction based on decision matrices was presented. And much more concise decision rules could be got with this method.

    同时,借助决策矩阵进行值约简,提出了一种新的规则提取算法,使最终得到的决策规则更加简洁。

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  • The new algorithm carries out the reduction processing to the generated decision rules containing the frequency attribute and obtains the simplest decision rules.

    新的算法对生成的带频度属性的决策规则进行约简处理,得出最简决策规则。

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  • Secondly, during reduction of attribute values, some irrelevant attributes are further eliminated, then abstractation of personalized decision rules is accomplished.

    然后在属性值约简中进一步去除与用户无关的属性,从而抽取个性化决策规则。

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  • Based on the model, direct search method is presented which can save the computing space and CPU occupation time, enhance the efficiency of decision rules generation.

    基于数学模型,提出直接搜索的转换方法,节省了运算空间,降低了算法的时间复杂性,提高了规则生成的效率。

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  • Based on the model, direct search method is presented which can save the computing space and CPU occupation time, enhance the efficiency of decision rules generation.

    基于数学模型,提出直接搜索的转换方法,节省了运算空间,降低了算法的时间复杂性,提高了规则生成的效率。

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