模糊集理论与粗糙集理论在处理不确定性问题方面具有较强的互补性。
Fuzzy set theory and rough set theory has a strong complementary in dealing with uncertain problem.
粗糙集理论是继概率论、模糊集、证据理论之后的又一个处理不确定性问题的新型数学工具。
Rough set theory is a new mathematical tool to deal with vagueness and Uncertainty problem after probability theory, fuzzy sets, mathematical theory of evidence.
粗糙集理论是处理不确定性问题的数学方法，本文提出了基于粗糙集与小波变换相结合的图像融合算法。
The rough sets theory is a mathematical tool to deal with problems on uncertainty. In this paper, an image fusion algorithm based on rough sets and wavelet transformation is proposed.
本文讨论的可靠性分析方法是处理不确定性问题的有效工具，其可以作为取定值方法的一个补充，使得整个分析基于一个系统的定量分析和合乎逻辑的推理。
A method of reliability analysis presented in this paper is an effective approach by which uncertain problems can be solved. This method can also be a supplement to th...
采用正反向混合推理控制策略及确定性理论来处理知识的不确定性问题。
The uncertainty problem of knowledge is solved by using the forward-backward inference control strategy and the certainty theory.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
粗糙集理论是一种处理模糊和不确定性问题的新的数学方法。
Rough set theory is a new mathematical approach to deal with vagueness and uncertainty.
粗糙集理论是处理模糊和不确定性问题的新的数学工具。
Rough set theory is a novel mathematical tool dealing vagueness and uncertainty.
粗糙集理论是一种新的处理含糊和不确定性问题的数学工具。
Rough sets theory is a new mathematical tool to deal with problems on vagueness and uncertainty.
利用隶属度和模糊综合评判的概念和方法有效地处理了领域知识描述和诊断推理中的不确定性问题。
The concept and the method of membership and fuzzy comprehensive judgement are used to deal with the field knowledge description and the uncertain problem in diagnosing inference.
基于贝叶斯网的分类器因其对不确定性问题有较强的处理能力，因此在CRM客户建模中有其独特的优势。
Bayesian network classifier has good capability to handle problems with high uncertainty, and is fit for customer modeling in CRM.
证据理论在不确定性问题中有很强的推理能力，而且合成法则对数据的融合处理提供理论依据。
The theory of evidence, called D-S theory, has great reasoning capacity in the questionably problems, and the dempster rule can provide theoretical foundation for the synergetic disposal of data.
粗集理论是一种新的处理含糊和不确定性问题的数学工具。
Rough set theory is a new mathematic approach to uncertain and vague data analysis.
因而，区间分析用于结构不确定性问题的处理具有简单实用的独特优点。
So the interval model to deal with uncertain structure has simple practical unique advantage.
利用模糊集理论和粗糙集理论在处理不确定性和不精确性问题方面侧重点的差异性，构造一种组合决策模型。
In this paper, a combined decision-making model is presented for dealing with uncertain and imprecise problems, based on the difference between fuzzy sets and rough sets theories.
在深入研究集对分析和集对分析对不确定性问题处理理论基础上，通过引入新的弃权问题评价指标与方法，给出了一种新的处理弃权问题的方法。
Based on the new index and the evaluation model about abstaining from voting, an accurate and effective method of abstaining from voting is put forward.
粗集理论作为一种新的软计算方法，可以用作处理图像信息的含糊和不确定性问题的数学工具。
Rough set theory is a new mathematical tool to deal with vagueness and uncertainty. It is a soft computing method and can be used as a useful tool for intellective information processing.
采用随机抽样推测法处理LPG泄漏爆炸事故风险分析中参数不确定性问题。
This paper discussed the parameter uncertainties of the LPG leaking processes by means of the random sampling guesswork method.
结合粗糙集理论和遥感数据中地物光谱特征空间分布信息，提出了一种基于光谱特征邻域的容差粗糙集分类方法，用来处理卫星遥感数据分类中的不确定性问题。
Based on the spectral feature neighborhood, this paper proposes a tolerant rough set classification method to handle the uncertainty in the process of satellite remote sensing data classification.
采用随机抽样推测法处理LPG泄漏爆炸事故风险分析中参数不确定性问题。
The parameter uncertainties of environmental risk analysis of LPG leakage and explosion can be treated by random sampling guesswork method in this paper.
采用随机抽样推测法处理LPG泄漏爆炸事故风险分析中参数不确定性问题。
The parameter uncertainties of environmental risk analysis of LPG leakage and explosion can be treated by random sampling guesswork method in this paper.
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