Chapter 5 discuss some problems on fuzzy consistent judgment matrix of FAHP.
第五章探讨了基于模糊一致矩阵的FAHP的几个问题。
A judgment method for the satisfying consistency of linguistic judgment matrix;
语言判断矩阵是决策者常给的一种偏好信息形式。
The problem of satisfying consistency of linguistic judgment matrix is discussed.
研究语言判断矩阵的满意一致性问题。
The methods of consistency improvement of the judgment matrix in AHP are studied.
对层次分析法中判断矩阵的一致性改进方法进行了研究。
The definitions of two kinds of consistency of fuzzy judgment matrix are given first.
首先给出模糊判断矩阵的两种一致性的定义。
Through AHP, the judgment matrix is structured and the weight of each factor is determined.
采用层次分析法，通过构造判断矩阵，确定各个因素的权重。
Related weights and synthetic weights can easily be obtained from attribute judgment matrix.
相对权重和合成权重很容易从属性判断矩阵获得。
New eigenvector method for priority of reciprocal judgment matrix based on correlativity is proposed.
从相关性角度提出了互反判断矩阵排序的特征向量方法。
This method can be applied to interval judgment matrix with incomplete information and fuzzy judgment matrix.
另一方面，此方法还可以应用到判断信息不完全及判断信息是模糊数的情形。
Meanwhile, a ranking approach to linguistic judgment matrix was also given based on the transforming formula.
同时利用该转换公式，给出基于语言判断矩阵的方案排序方法。
Based on attribute measure, the concepts of related attribute measure and attribute judgment matrix are presented.
在属性测度基础上，提出了相对属性测度和属性判断矩阵的概念。
Aim To study new ranking methods of ranking problem on complementary judgment matrix with triangular fuzzy Numbers.
目的研究解决元素为三角模糊数的互补判断矩阵排序问题的新方法。
Consistency check of interval judgment matrix is an important research field of interval analytic hierarchy process.
区间判断矩阵的一致性检验是区间层次分析法的重要组成部分。
The resulted judgment matrix is a weighted sum of the original judgment matrix and the completely consistent judgment matrix.
调整后的判断矩阵等于原判断矩阵和完全一致性矩阵的加权和。
In the application of the attribute hierarchical model, it is necessary to test the uniformity of the attribute judgment matrix.
在属性层次模型的应用中，要检验属性判断矩阵的一致性。
The method USES triangle fuzzy Numbers to establish judgment matrix and improves the unbalance problem of AHP's judgment matrix.
该方法采用三角模糊数来建立判断矩阵，改善了在层次分析法中所给出判断矩阵的不平衡问题。
Firstly, some concepts, such as interval Numbers consistent reciprocal judgment matrix, relative superiority degree, etc, are given.
首先，给出了区间数一致性互反判断矩阵、相对优势度等概念。
The judgment matrix and the expert's evaluating matrix are constructed using fuzzy triangle Numbers, and the AHP method is improved.
采用三角模糊数来建立判断矩阵和专家评判矩阵，改进了AHP方法。
The purpose of this paper is to study multi-attribute decision making on the basis of consistency of fuzzy complementary judgment matrix.
论文主要研究基于模糊互补判断矩阵一致性的多属性决策问题。
Based on attribute measurement, attribute hierarchical model is established by analyzing judgment criterion and attribute judgment matrix.
在属性测度的基础上，通过分析判断准则和属性判断矩阵，建立了属性层次模型。
Fuzzy AHP was applied based on interval judgment matrix, and the fuzzy judgment model was set up for radar netting's effectiveness evaluation.
应用基于区间模糊数判断矩阵的模糊ahp法，建立了模糊评判模型。
The defect source of actual system can be accurately judged by constructing the system defect judgment matrix and combining with PLC port state.
该方法通过构造系统的故障判别矩阵，并结合端口的状态，通过运算可以准确地判别系统的故障源。
The possible value range of the incomplete elements and the method of decision-making based on the incomplete linguistic judgment matrix are studied.
研究了残缺语言判断矩阵的残缺元素取值范围推断方法及基于残缺语言判断矩阵的决策方法。
While deciding the weight factors of the parameters, in the light of the limit of the general AHP, group judgment matrix is optimized by transfer matrix.
在指标权重系数的确定中，针对普通层次分析法的局限，采用最优传递矩阵法对群体判断矩阵进行优化处理；
This paper presents a simple calculation of ranking on the group judgment matrices and statistics testing method on the consistency of a judgment matrix.
本文提出了群体判断矩阵排序的简便算法和检验判断矩阵一致性的统计检验法。
Secondly, a goal programming model is established and the weight vector of interval Numbers complementary judgment matrix is obtained by solving the model.
其次，建立目标规划模型，并通过求解该模型得到区间数互补判断矩阵的权重向量。
Secondly, a goal programming model is established and the weight vector of interval Numbers complementary judgment matrix is obtained by solving the model.
其次，建立目标规划模型，并通过求解该模型得到区间数互补判断矩阵的权重向量。
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