为此有必要直接对不完备信息系统进行处理。
Therefore, incomplete information systems need be directly operated.
提出一种属性值为区间灰数的不完备信息系统。
In this paper, the incomplete information system in which attributes values were considered as interval grey number.
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.
提出了一种基于粗糙集的不完备信息系统数据填补方法。
This paper brought forward a data packing method of incomplete information system based on rough sets and grey system theory.
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.
该算法无需改变初始不完备信息系统的结构，能直接处理缺省数据。
The algorithm could deal with incomplete data directly and do not required changing the size of the original incomplete system.
本文针对不完备信息系统属性约简的两种定义，证明了两者的等价性。
In this paper, the equivalence of two definitions of attributes reduction in incomplete information system is proved.
定义了一种不完备信息系统的上、下近似算子，得到了一些相关的性质。
The upper approximation and the lower approximation operators are defined in incomplete information system. Furthermore, some related properties are discussed.
对一不完备信息系统进行了实例分析，以说明新提出的二元关系的有效性。
Analyzed an illustrative example to indicate the validity of the new-defined binary relation.
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.
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.
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.
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 ex...
在不完备信息系统基于差别矩阵的属性约简算法中，相容类和最大相容类中的对象具有不确定性。
In incomplete information system, objects of the tolerance class and maximal consistent block in the attribute reduction algorithm based on discernibility matrix are uncertain.
通过实例说明了这种方法是可行的，在一定程度上将粗集用于研究不完备信息系统方面进行了推广。
By an example, it is verified that this method is more feasible and rough set theory is extended in some way.
本文重点研究了在不完备信息系统中数据动态变化情况下的属性约简问题，针对已有算法提出了改进的算法。
This paper proposed an improved algorithms in incomplete information system data in the context of dynamic changes of attribute reduction for the existing algorithms.
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.
在此基础上结合粗糙集理论提出了相似矩阵、相似区间的概念，并将其应用于不完备信息系统知识分类的问题中。
On this bases, similar matrix and similar interval are proposed in combination with rough set theory. They are useful in knowledge partition problem in incomplete information system.
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.
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.
在现实生活中，由于数据的不确定甚至缺损现象的普遍存在，使得数据库使用者面临的信息系统绝大多数都是不完备的。
Because of general phenomena of indefinite data or even imperfect existing, information systems that are presented to user are mostly incomplete.
应运而生的技术是数据挖掘，但是传统的挖掘技术对不完备的信息系统表现出了诸多的不足。
The technology arising at the historic moment is data mining, but the traditional technology of data mining demonstrates a great deal of deficiencies to the incomplete information system.
最后针对不完备的信息系统，给出一种协作的静态查询处理算法。
At last we present a cooperation static algorithm of processing query.
最后针对不完备的信息系统，给出一种协作的静态查询处理算法。
At last we present a cooperation static algorithm of processing query.
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