本文研究输入信息不完备条件下结构的参数识别问题。
Structural system identification with incomplete input information is studied in this paper.
测试信息不完备、测量噪声等因素是制约结构损伤识别方法应用的主要难点。
Some factors, such as incomplete measurements, measurement noise, are main difficulties confronted in damage identification method for application.
为了提高多故障诊断算法在诊断信息不完备时的诊断能力，引入粗糙集技术。
Rough Set technique is introduced for increasing the diagnosis capability of multi - fault diagnosis algorithm when diagnosis knowledge is not mature.
针对指标体系信息不完备的特定问题，建立了基于粗糙集的指标体系空值处理模型。
Aiming at incomplete information of indicator system, this paper sets up null value dealing model of indicator system based on rough set.
针对路网信息不完备性、路网结构特征和驾驶员习惯等因素，研究最短路搜索问题。
Concerning the incomplete information, structural characteristics and driver's habit, issue of the shortest path search in road network was studied.
提出了一种基于粗集的缺省规则挖掘模型，以利于在信息不完备情况下进行推理和决策。
A rough set model to mine default rules was presented in order to reason and solve the decision question with incomplete information.
为了解决信息不完备条件下的方案评估问题，提出了一个基于质量屋的模糊方案优选模型。
For solving the problem of schemes evaluation in the condition of incomplete information, a fuzzy schemes selection model based on HOQ is given.
本文评述了联合违约概率和信用风险证券定价的三种分析范式：结构范式、简约范式和信息不完备范式。
In this paper, we review the structural, reduced form and incomplete information approaches to estimating joint default probabilities and prices of credit sensitive securities.
仿真实验结果表明，混合规划方法能在路网信息不完备条件下实现最短路径动态诱导，有效避开拥堵区域。
The simulated experimental results indicate that the mixed planning can search the shortest path dynamically in road network with incomplete information and evade from congestion efficiently.
由于该诊断系统并非基于严密的逻辑推理，而是基于部分信息的经验判断，因此其对测试精度不足和测试信息不完备具有一定的鲁棒性。
Because above method is not a rigorous ratiocinative method, but a empirical diagnosis based on partial information, this method has robustness to the limitation of testing accuracy and information.
基因测试经常揭示出一些让人心急但又不完备的信息，人有时也难以知道如何对这些信息作出回应。
Genetic testing often reveals tantalizing but incomplete information, and it is sometimes difficult to know how to respond.
首先，研究了在不完备信息系统下的属性约简算法。
Firstly, the attributes reduction algorithm is studied under the incomplete information systems.
在许多情况下，现实世界的信息系统是不完备的。
In many cases, the information system in the real world is not complete.
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。
How to find decision rules directly from such an incomplete information decision table is also discussed.
多智能体系统的智能体大都处在复杂、时变、信息动态不完备的环境中。
Agents in multi-agent system are always in complex, dynamic and not self-contained.
通过实例，说明了基于修正容差关系的扩充粗糙集模型对处理不完备信息系统更加简便有效。
By an example, it is verified that the extension of rough set based on modified tolerance relation is more convenient and effective than the previous extensions in practice.
文中提出了一种基于绝对信息量的赋值规则，根据该规则提出了补齐不完备信息系统的算法。
This paper presents a rule based on the absolute information quantity. Then we provide an algorithm to make up an information system.
在进行风险分析和评估过程中，经常遇到样本信息不充分，数据不完备，即小样本问题。
During analyzing and estimating the risk, we often meet with the situation of inadequate sample information and incomplete data, that is, small-sample problem.
在实际的冲突中，信息往往是不完备的。
粗糙集理论作为一种处理不完备信息的有力工具，已广泛应用于人工智能的许多领域，特别是数据挖掘和知识发现领域。
Rough set theory, a powerful tool to deal with incomplete information, has been widely used in the area of artificial intelligence, especially in data mining and knowledge discovery.
在扩充粗糙集理论中，容差关系是一种处理不完备信息系统的工具。
Tolerance relation is an effective tool in patulous rough set theory to deal with incomplete information systems.
其次，设计了一个基于本文提出的基于相容关系的分配约简遗传算法的高校人事不完备信息系统的知识获取模型。
Secondly, a knowledge acquisition model for the incomplete information systems for the university personnel system on the basis of the tolerance relation assignment reduction using GA is designed.
应用粗集理论可以在决策支持系统中对不完备数据进行分析、推理，提取有用特征，简化信息处理，得出肯定结论。
In the Decision Support System the application of Rough Set could analyze, infer to the incomplete data and pick-up useful character, simplify information processing, and get conclusion in the end.
应用这种方法能够将不完备系统转化为模糊信息系统，然后利用模糊粗糙集理论，让隐藏在不完备信息系统中的知识以决策规则的形式表示出来。
Based on fuzzy rough set theory, it is liable to change the incomplete system into fuzzy information system and make the covert knowledge stand out in a way of decision regularity.
然而电子商务中所搜集到的客户信息往往具有海量、高维度和不完备等特点，如何对其正确、高效地分类是一个难题。
However, customers' information collected in e-commerce is always huge, multi-dimension and incomplete, how to classify the information properly and efficiently is a hard problem.
由于实测信息的不完备，使得在利用传统的基于模型修正的数学方法进行结构损伤识别时，必须对结构的模型进行缩聚或对实测振型进行扩展。
For the measured information is far from complete, the model condensation or the mode shapes extension techniques have to be used in the traditional model updating method.
针对经典粗糙集模型只能处理完备信息系统，将变精度粗糙集模型引入到不完备信息系统中。
In view of the classical rough sets model can only dispose the complete information system, a variable precision rough sets model is introduced to dispose the incomplete information system.
本文主要研究不完备信息系统下的知识获取方法，并取得了一些有意义的结果。
This thesis deals mainly with the knowledge acquisition methods as rough-sets, D-S evidence theory in incomplete information system, and obtains some significative result.
鉴于电力变压器信息的不完备性及复杂性，基于粗糙集理论提出了一种能较好处理不完备信息的变压器故障诊断模型。
Due to the incompleteness and complexity of fault diagnosis for power transformer, a specific fault diagnostic model with self-improvement method based on the Rough Set theory is given in this paper.
鉴于电力变压器信息的不完备性及复杂性，基于粗糙集理论提出了一种能较好处理不完备信息的变压器故障诊断模型。
Due to the incompleteness and complexity of fault diagnosis for power transformer, a specific fault diagnostic model with self-improvement method based on the Rough Set theory is given in this paper.
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