The group decision making problems are studied, in which all attribute weights, attribute values and expert weights take the form of linguistic labels.
研究了属性权重、属性值以及专家权重均以语言形式给出的纯语言多属性群决策问题。
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。
A distributed model of incremental attribute reduction is also presented by decomposing values of decision attribute of positive region and boundary region in non-tolerant decision table.
此外，通过对不相容决策表的正区域的决策值和边界域对原决策表进行分解，得到了一种分布式增量属性约简模型。
With regard to the attribute values in decision table, which are described with hybrid data, a new algorithm of attribute reduction based on rough set theory is proposed.
针对决策表中属性取值为杂合数据的情况，提出了基于粗糙集理论的属性约简算法。
This paper presented a multiattribute decision making model with fuzzy weights and fuzzy attribute values.
本文建立了一种具有模糊权及模糊属性值的多属性决策模型。
In particular, a decision table in which the decision attribute has only two values is obtained, and its generalized reduction and relative reduction are equivalent.
特别的，得到了决策属性只取两个决策值的决策表，其广义决策约简同相对约简是等价的。
The attribute missing values filling, attribute reduction and the choice of decision tree branch attributes are researched in this paper.
本文从属性值缺失的填补、属性约简和决策树分支属性选择三方面进行研究。
Attribute values in multiattribute decision-making are the base of the alternatives' ranking.
多属性决策问题的属性值是决定方案排序的基础。
Multiple attribute decision making problems with interaction are investigated, in which the attribute values and the preference information are expressed in the form of intuitionistic fuzzy numbers.
研究了决策者对方案的主观偏好值以及属性值均为直觉模糊数的且属性间存在关联的多属性决策问题。
The uncertain multi-attribute decision making problem in which the attribute values are interval numbers is discussed.
讨论了属性值为区间数的一类不确定性多属性决策问题。
Normalizing of fuzzy attribute values is a basic in fuzzy multiple attribute decision making.
模糊属性值的规范化是模糊多属性决策分析中的一个基础性问题。
Multiple attribute decision making with part or whole fuzzy attribute weights and fuzzy attribute values is called fuzzy multiple attribute decision making.
属性权重和属性值有部分或全部是模糊信息的多属性决策称为模糊多属性决策。
Based on the gray system theory, the multi-attribute decision making problem is discussed, in which both the attribute values and the attribute weights are interval gray Numbers.
以灰色系统理论的思想与方法为基础，探讨了属性值和属性权重均为区间灰数的多属性决策方法。
We study multiple attribute decision-making problems with uncertain linguistic information, in which the preference values take the form of uncertain linguistic variables.
研究了偏好值以不确定语言变量形式给出的多属性决策问题。
Not only can the method deal with various stochastic distribution hypotheses for multiple attribute range values, but also take decision makers expectation of comprehensive assessment into account.
该方法既可恰当处理多属性区间值的不同随机分布假设，又可考虑决策者对综合评价值的期望水平，避免了对复杂的综合评价值随机分布的简单化处理。
The uncertain multiple attribute decision-making problem is discussed, in which the attribute weights and the attribute values are in the forms of interval Numbers.
研究了属性权重和属性值均以区间数形式给出的不确定多属性决策问题。
Then, considering the practical requirements of team combat, a method for reduction of attribute-values under single decision attribute is extended to the reduction under multi-decision attributes.
并将单一决策属性下的属性值约简方法推广，讨论了更适于编队作战分析的多决策属性下的属性值约简问题。
With respect to multiple attribute decision-making problem in which both the attribute weights and attribute values are interval Numbers, a new method of grey relational analysis (GRA) is proposed.
针对属性权重和属性值均为区间数的多属性决策问题，提出了一种新的灰色关联分析法。首先定义了区间数正理想方案，由此计算出各方案相对于正理想方案的区间数灰色关联系数。
For interval multiple attribute group decision making problems, in which all attribute weights and attribute values are interval Numbers, an approach based on CC-OWG operator is developed.
对于不完全信息的群体多属性决策问题，研究在各决策者给出属性权重信息有冲突的情况下个体属性权重信息的集结问题。
For interval multiple attribute group decision making problems, in which all attribute weights and attribute values are interval Numbers, an approach based on CC-OWG operator is developed.
对于不完全信息的群体多属性决策问题，研究在各决策者给出属性权重信息有冲突的情况下个体属性权重信息的集结问题。
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