Rough set theory is the core content of knowledge reduction.
粗糙集理论的核心内容是知识约简。
Knowledge reduction is one of important issues in rough set theory.
知识约简是粗糙集理论的重要研究内容。
A new conditional entropy and knowledge reduction algorithms are proposed.
提出新的条件信息熵及其高效知识约简算法。
Knowledge reduction is one of the important contents in the research on rough set theory.
知识约简是粗糙集理论研究中的重要内容之一。
At present, many scholars have made deep studies of knowledge reduction and achieved a lot.
目前，许多学者对知识约简做了深入的研究，并取得了很多成果。
The knowledge reduction method based on fuzzy belief measures and fuzzy plausibility measures are introduced.
给出基于模糊信任测度和模糊似然测度的随机模糊信息系统知识约简的方法。
A problem in the information system and knowledge discovery, is a problem of processing optimal knowledge reduction.
最佳知识约简问题是信息系统与知识发现中面临的一个重要问题。
A method of knowledge reduction based on the combination of mutual information and doubtful measure is proposed in this paper.
提出一种基于互信息和疑义度相结合的知识约简方法。
A heuristic algorithm based on conditional information entropy for knowledge reduction is proposed, and the complexity of this algorithm is analyzed.
提出了一种基于条件信息熵的知识约简启发式算法，并指出该算法的时间复杂度是多项式的。
Knowledge reduction is the core of Rough set. It obtains the reduction attribute and classification rules while holding the ability of classification unchanged.
知识约简是其中的核心内容，是在保持分类能力基本不变的情况下，获得系统的约简属性和分类规则。
Moreover, the similarity dominance-based rough set model is introduced into the incomplete fuzzy decision system for knowledge reduction and knowledge acquisition.
将基于相似优势关系的粗糙集模型引入不完备模糊决策系统中，对其中的知识约简与知识获取问题进行了研究。
Reduction of knowledge and compression of information play a very important role in data intelligence processing, which deal with concepts of knowledge reduction and data dependency.
在智能信息处理中，知识的化简、信息的压缩起着重要作用，这涉及到知识的简化和数据的依赖性等概念。
However, knowledge reduction is dependent on a series of supporting algorithms such as the calculation of attribute significance, finding core, attribute reduction and value reduction.
然而，知识约简离不开一系列的算法作支撑，包括判断属性的重要性、求核、属性约简和值约简等。
Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.
粗糙集理论是一种新型的数据挖掘和决策分析方法，利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。
In addition, we propose theory of knowledge reduction based on consistent decision formal context and give the judgement theorems and discernibility matrices, from which methods of attribute …
进一步给出了属性约简的判定定理和相应的可辩识属性矩阵，从而为概念格中协调决策形式背景属性约简提供了一种具体的方法。
Knowledge saves lives. This day is an opportunity to focus on the vital importance of traditional indigenous and local knowledge in disaster risk reduction with respect to natural hazards.
知识拯救生命。提倡在减少自然灾害风险工作中发挥当地和本土传统知识的重要作用，本年的国际减灾日可谓正当其时。
Meanwhile, the impact of earthquakes on human society could be considerably reduced, if available knowledge and know-how would be effectively transferred into the practices of loss reduction.
与此同时，若能将现有知识和技术有效地转化为减灾实践，地震灾害对人类社会的威胁将大大减少。
In terms of competition policy, the problem is to weigh the potential reduction in competition against the potential benefits of pooling risks, sharing capital costs and diffusing knowledge.
在竞争政策方面，问题是要在竞争的潜在减少和集体承担风险、分担资本成本和传播知识的潜在收益之间进行权衡。
The process of knowledge discovery in time series includes preprocessing of time series data, attributes reduction and rules extraction.
知识发现的过程包括时间序列数据预处理、属性约简和规则抽取三部分。
So a reduction algorithm of attribute for personalized knowledge discovery was designed.
为此，设计了一种面向个性化知识发现的属性约简算法。
Attribute reduction is one of the key problems for the knowledge acquisition.
属性约简是知识获取中的关键问题之一。
Attribute reduction is one of the most important parts in knowledge acquisition.
属性约简是知识获取中最重要的部分之一。
How to select the character parameters of weapon system is the first place. The character parameters of weapon system are selected based on reduction of knowledge.
建立武器参数效能模型，首先要挑选特征参数，这里采用知识约简方法选择武器的特征参数。
A kind of knowledge relative reduction Algorithm was proposed.
提出一种基于遗传算法的知识相对约简算法。
As minimum knowledge units, maximal consistent blocks are very useful for knowledge representation, attribute reduction, granular analysis and knowledge acquisition in incomplete information systems.
极大相容块是非完备信息系统中的最小知识单元，在非完备信息系统的知识表示、属性约简、粒度分析及知识获取方面有重要的应用价值。
The system can work for the knowledge contest to provide convenient services, and the reduction of human resources, is a function better, broader application of the knowledge contest system.
该系统能为知识竞赛工作提供方便的服务，减少人力资源，是一个功能较完善、适用面较广的知识竞赛系统。
It has been proved the computation of minimal reduction and full reduction both is NP-hard problem, in artificial intelligence the common way is to employ heuristic knowledge to reduce.
研究表明，最小约简的计算和全部约简的求算都是NP问题，在人工智能中，解决这类问题的一般方法是利用启发式信息进行约简。
The results show that the search convenience, seller efforts, personal product knowledge and channel diversification have positive influences on the consumer perception of search costs reduction;
研究结果表明，搜索便利性、卖方努力、个人产品知识及渠道多样化会对消费者感知搜索成本降低产生正的影响；
The results show that the search convenience, seller efforts, personal product knowledge and channel diversification have positive influences on the consumer perception of search costs reduction;
研究结果表明，搜索便利性、卖方努力、个人产品知识及渠道多样化会对消费者感知搜索成本降低产生正的影响；
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