搜索资源列表
11
- 理想解法程序，根据求值大小对各个指标进行排序-topsis method
Topsis
- Topsis为管理决策中评价多目标，多准则的有效方法之一-one method for arguement.
TOPSIS
- 决策算法TOPSIS的C++代码,编译了程序接口，是个大型程序下的一个下的子程序-the code of TOPSIS
topsis
- 本程序完成topsis多目标单目标化的功能，主要用以多目标的优良等级评定！-This procedure to complete the TOPSIS multi-objective single objective function, mainly used to assess the good grade targets!
topsis
- 利用各待评方案的指标体系，通过计算各待评价方案与理想解的接近程度，作为评价各方案的依 据的一种多目标决策评价方法-topsis sort
topsis3-1
- this program is implementation of TOPSIS algorithm
Topsis
- 利用matlab画Topsis，因为有多个方案，所以程序里面对不同的方案用不同的颜色呈现-Use matlab painting Topsis, because there are a number of options, so the program inside of different scenarios with different color rendering
TOPSIS--R
- 很好用的代码 简单操作 且是用R语言编写 真的很好用啊- Conceptually, this is a good model, but all too often people actually implement their code this way.
TOPSIS
- 理想解逼近算法，很好的仿真例程，适用于初学者学习多元统计分析中应用-Close to the ideal solution to the source code, can be used to build simulation, very practical, directly matlab code
topsis
- 多属性决策方法topsis 输入数据，直接可用-Multi-attribute decision-making method topsis, enter the uation index, directly available
TOPSIS
- topsis综合评价，能够根据多个指标确定各个案例的贴近度，从而进行评价分类(TOPSIS comprehensive evaluation can determine the closeness degree of each case according to a number of indexes, so as to evaluate and classify)
topsis1
- 用R语言进行TOPSIS算法，TOPSIS方法是层次分析中一个较为常用的方法，这里给出其一个R语言实现(Using R language for TOPSIS method)
1-s2.0-S187705091501529X-main
- An approach Based on TOPSIS for Ranking
1-s2.0-S187705091631273X-main
- Fuzzy TOPSIS A General View
1-s2.0-S0307904X0900300X-main
- Weight determination for consistently ranking
1-s2.0-S0307904X11006391-main
- Multiple criteria group decision
1-s2.0-S0307904X11006330-main
- An improved method for ranking
程序和例子
- 很好的TOPSIS程序，直接运行结果，强烈推荐(Good TOPSIS program, run the result directly)
TOPSIS-Python-master
- TOPSIS （Technique for Order Preference by Similarity to an Ideal Solution ）法是C.L.Hwang和K.Yoon于1981年首次提出，TOPSIS法根据有限个评价对象与理想化目标的接近程度进行排序的方法，是在现有的对象中进行相对优劣的评价。(The TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) method was fi
TOPSIS熵值法R代码和灰色关联度Matlab程序
- TOPSIS-熵权法R代码，可用来进行综合评价(TOPSIS-Entropy Weight R Code, which can be used for comprehensive evaluation)