Title: | Analytic Hierarchy Process (AHP) |
---|---|
Description: | Given the scores from decision makers, the analytic hierarchy process can be conducted easily. |
Authors: | Zhicheng Du, Yuantao Hao |
Maintainer: | Zhicheng Du<[email protected]> |
License: | GPL-3 |
Version: | 0.1.1 |
Built: | 2024-11-05 05:12:10 UTC |
Source: | https://github.com/cran/easyAHP |
Given the scores from decision makers, the analytic hierarchy process can be conducted easily.
easyAHP(data)
easyAHP(data)
data |
a data frame consisted of the scores from decision makers; each row represents each item; no more than 10 items is allowed; each column represents each decision maker; no more than 20 makers is allowed; each item would be graded 1-9 score by each meker |
Matrix |
decision matrix of each decidion maker and the consolidated |
Weights |
item weights of each decidion maker and the consolidated |
CI |
consistency index of each decidion maker and the consolidated; being used to calculate the next item (CR) |
CR |
consistency ratio of each decidion maker and the consolidated; value<0.1 is acceptable, otherwise we should ask the makers to grade once more time |
Please feel free to contact us, if you have any advice and find any bug!
Reference:
1. http://bpmsg.com/
Update:
Version 0.1.1: the explaination in the 'value' section is corrected; the value of 'CR' less than 0.1 is acceptable
More advanced performance is coming!
Zhicheng Du<[email protected]>, Yuantao Hao<[email protected]>
data=data.frame(maker1=c(6,8,1,3),maker2=c(6,8,2,3)) row.names(data)=c("item1","item2","item3","item4") easyAHP(data)
data=data.frame(maker1=c(6,8,1,3),maker2=c(6,8,2,3)) row.names(data)=c("item1","item2","item3","item4") easyAHP(data)