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。
Fuzzy constraints based triangular fuzzy Numbers and the fuzzy cost based trapeze fuzzy Numbers are discussed in this paper.
本文讨论了基于三角形模糊数的模糊约束条件和基于梯形模糊数的模糊费用。
A new assembly method and decision method are given for triangular fuzzy Numbers multiple attribute group decision-making.
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。
With respect to multiple attribute clustering analysis problems with triangular fuzzy numbers, a new clustering analysis method is proposed.
针对一类特征指标值及指标权重均为三角模糊数的多指标信息聚类问题，提出了一种新的最大树聚类分析方法。
Finally, there is uncertainty on the issue of the delivery vehicle for some uncertainty in the application of the issues into the triangular fuzzy Numbers, specific issues of preliminary discussions.
三是对取送车作业中存在的不确定性因素作了分析，引入三角模糊数加以描述，并对处理方法作了初步的讨论。
The assessment marks of experts are modified to triangular fuzzy numbers using the confidence index.
使用信心指数法将专家的分数修正为三角模糊数；
On the basis of the new distance formula for triangular fuzzy numbers given by the paper, a priority method for triangular fuzzy numbers multiple attribute decision making is given.
多属性决策的基础上，新的距离公式为三角模糊数的文件，一个三角模糊数的排序法。
With this way, the rating of each alternative and the weight of each criterion are described by linguistic variables which can be ex-pressed in triangular fuzzy Numbers.
在此方法中，用三角模糊数给出各项决策指标的评语以及各备选地点的排序。
In this paper, the theory and the priority method of interval Numbers, triangular fuzzy Numbers and their judgment matrices are analyzed and studied.
在区间数互补判断矩阵一致性的基础上，提出了区间数互补判断矩阵排序的两种新方法。
In this paper, the theory and the priority method of interval Numbers, triangular fuzzy Numbers and their judgment matrices are analyzed and studied.
在区间数互补判断矩阵一致性的基础上，提出了区间数互补判断矩阵排序的两种新方法。
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