有一个用户通过决策日志简单地从指导模型中拷贝问题的描述和建议属性，由此生产决策依据。
One user simply copied the issue descriptions and recommendation attributes from the guidance model to outcome justifications in the decision log.
要想通过软件度量做出正确的决策，就必须构造决策目标和量化的软件属性，即度量数据间的关系模型。
To make correct decision, the relation model between goal of decision and quantitative software attributes, namely data of software metrics, must be constructed.
包括理论的提出，一些基本的概念，数据的约简，知识表达系统，属性的约简，决策逻辑和决策规则最小化等。
It includes the proposing of the theory, some relevant fundamental concepts, the reduction of data and attributes, KRS, decision analysis, and the reduction of decision rules.
针对不完全信息下的多属性群决策问题，提出了一个新的交互式决策方法。
This paper presents an interactive method for a multiple attribute group decision making problem with incomplete information.
本文从多个决策者参与决策的角度出发，在模糊和不确定环境下，运用模糊多属性群决策模型来研究供应商的选择问题。
This article from multiple decision-makers in decision-making perspective, in the vague and uncertain context, uses fuzzy multi-attribute group decision making model to study the supplier selection.
基于决策者的线性效用函数提出了一种求解多属性决策问题的交互线性分式规划算法。
An interactive linear fractional programming algorithm is presented to solve multiple attribute decision problems based on the assumption that the decision-maker has a linear utility function.
将提取的暂态零序电流故障特征作为条件属性，信号增强倍数作为决策属性，构成一个决策系统。
The extracted fault characteristics of transient zero sequence current is looked as condition attributes and the multiple of signal enhancement is.
提出了一种电力变压器状态维修决策的模糊多属性决策方法。
The fuzzy multiple attribute decision-making method to condition-based maintenance of transformer is proposed.
在根据入侵规则构造决策树时，所依据的分类属性选择标准对决策树的形状和深度有很大的影响。
The choice of attribute selection metric to split has an important impact on the shape and the depth of the resulting decision tree.
为解决图书供应商选择问题，建立同时考虑多个属性，由多人进行决策的组合多属性群决策模型。
The books supplier selection is usually made by multiple decision-makers considering multiple attributes of the suppliers, so a combined multi-attribute group decision-making model is proposed for it.
答案可能是决策者的不同而有所区别，因为每个决策者指定一个不同相对重量属性。
The answer could be different for each decision maker, because each decision maker assigned a different relative weight to the attributes.
首先介绍了决策表、广义信息表的构造及特点，然后给出了求决策表的最小属性约简及最小决策算法的计算方法。
Then, according to the features of the generalized information table, the algorithms of acquiring minimal attribute reduction, attribute value reduction and minimum decision algorithm are put forward.
该文分析属性值约简，针对协调决策表提出一种通过构造决策矩阵直接获取最简规则的方法。
This paper analyses attribute value reduction, and presents a method to acquire briefest rules directly by constructing decision matrix in consistent decision table.
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。
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.
多属性决策方法的应用研究是决策理论研究中最为热门的课题之一。
Application study of the multi attribute decision-making methods is one of the pop problems in the decision-making theory.
笔者分析了供应链基于成本型的风险因素，并根据不确定多属性决策理论提出了供应链决策模型。
On the basis of cost-type and according to uncertain multiple attribute decision making theory, it provides the supply chain decision model.
随着多属性决策问题的复杂性、不确定性日益增强，基于区间数的多属性决策理论与应用研究越来越广泛。
With the complexity and uncertainty buildup in decision making problems, the research on multiple attribute decision making based on interval Numbers has become more and more popular.
针对三角模糊数多属性群组决策，给出了一种新的群组决策的集结方法及决策方法。
A new assembly method and decision method are given for triangular fuzzy Numbers multiple attribute group decision-making.
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。
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.
最后应用粗糙集理论来对决策信息表进行离散化处理和属性约简，以生成图像分割算法选取的决策规则。
Finally, rough set theory is applied to discretization and attribution reduction of decision information table, in order to make the decision rule of image segmentation algorithm selection.
将不确定语言评价与多属性群体决策方法相结合，提出了虚拟物流中心伙伴选择的不确定语言多属性群体决策模型。
A model of virtual logistics center partner selection based on uncertain language multi-attribute group decision-making method was proposed, which combined.
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。
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.
粗糙集中决策表约简也就是以基于最少的条件属性和最小冗余的属性值导出最少的决策规则或分类规则。
Simplification of Decision tables in Roouh set is order to lead decision rule or categorised rule at the least on the basis of the least condition attribute and minimum redundant attribute value.
近年来，涌现了很多的粗糙集模型来解决多属性决策问题，最后得到决策者非常满意的决策规则，并用于生活实践之中。
In recent years, some rough set models are applied to deal with the MADM problems, which provides the satisfied decision rules to the decision maker and make the functions in real-life practice.
为了从有偏好信息但信息不完全的多属性决策系统中获取概率决策规则，提出一种新的不完全信息的多属性粗糙决策分析方法。
In order to discover probabilistic decision rules in preferential multiple attribute decision system with incomplete information, an extension of the rough sets model is proposed in the paper.
该方法运用了粗糙集理论中条件属性相对于决策属性的核，引入启发式条件计算并选择条件属性作为决策树的根结点或子结点。
The method adopts the core of condition attributes with respect to decision attributes, and calculates condition of heuristic to find root or root of subtree.
针对以上两种决策树特点，提出了基于知识粗糙度的混合变量决策树的构造方法，选择知识粗糙度较小的分类属性来构造决策树。
Aim to upwards points, in this paper, advance a knowledge roughness based approach to hybrid decision tree, select less knowledge roughness as tested attribute to construct decision tree.
对于多属性决策的关于属性权重、属性指标值和方案效用值三个参数的不完全信息，建立了两种决策模型。
Two models are constructed for MADM with incomplete information about three parameters, attribute weights, attribute values and utility values of alternatives.
从而，将复杂的多属性群决策问题转化成一般的多属性决策问题，并采用理想点法进行了求解。
As a result, a complicated multiattribute group decisionmaking problem was transformed into a general multiattribute decisionmaking problem easy to solve and was solved using the ideal point method.
从而，将复杂的多属性群决策问题转化成一般的多属性决策问题，并采用理想点法进行了求解。
As a result, a complicated multiattribute group decisionmaking problem was transformed into a general multiattribute decisionmaking problem easy to solve and was solved using the ideal point method.
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