A new version of of the AHP Excel template with some major updates is now available for download. Based on the work of Tomashevskii (2014, 2015), errors for the resulting priorities/weights are shown.
In addition the overall dissonance (ordinal inconsistency) according to Sajid Siraj (2011) is indicated. The zip file for download also contains the updated manual, showing the calculations and references.
Continue reading AHP Excel Template Update Version 2018-09-15
In this latest version of the template, the balanced scale was replaced by the generalized balanced scale (balanced-n), and the adaptive scale was added. The maximum number of iterations for the power method was increased from 12 to 20.
If you need inputs for more than 20 participants, please contact the author. A version for up to 225 participants is available.
Go to download page.
For more information about AHP scales, please read my paper Comparison of Judgment Scales.
Thanks to feedback from Frank, this updated version got some minor modifications for the case of two criteria only.
Download the latest version of the AHP Excel Template.
Thanks to feedback from Benedikt, this latest update contains a minor change, to show the convergence of the power method, when calculating the eigenvalue. In the summary sheet a threshold (squared Euclidean distance d2) can be set, to show how many iterations it takes, until the change of the approximated eigenvector is below the given threshold. By default the value is set to Thresh: 1E-07:
In the above example it takes 7 iterations until d2 is below 1E-07. The actual difference is 3.5E-08 (EVM check). As the number of iterations in the template is fixed to 12, care should be taken if the value reaches 12.
You might download the latest version from my AHP template download page.
In this latest update of my AHP excel template, input sheets were modified to show the proposed ideal judgments for the three most inconsistent inputs, resulting in a lower consistency ratio CR.
Example
On the left side judgment A9, A7 and A6 are highlighted as inconsistent, CR is 32%. The consistent judgment is shown as A4, A9 and A3. After correction with the proposed intensities (right side) the consistency ratio decreases to 7% below the required threshold of 10%.
You might download the latest version from my AHP template download page.
In this latest update I followed the several requests to extend the number of participants (decision makers); you now can use the template for up to 20 participants. In addition the weight of individual participants can be adjusted for the aggregation of individual judgments (AIJ). For example, if you have one expert in the group, you might want to give him/her evaluation a x-time higher importance than the rest of participants. Then you simply change the weight in the input sheet from 1 to x. The calculation is done using the weighted geometric mean:
with cij = element of the consolidated decision matrix, aij(k) element of the decision matrix of participant k.
Kindly let me know in case you find any problem with this new version. Feedback is appreciated always! You can download this latestes version from my AHP template download page.
Concepts, Methods and Tools to manage Business Performance
Dear Friends, dear Visitors,
time for an update on my BPMSG welcome page! Being quite busy the last half year, I didn’t work so much on major articles or videos, but at least I tried to keep my site current with some regular updates.
Related to the analytical hierarchy process (AHP), you might find information about the consistency ratio (CR). CR is one of the most critical issue in the practical application of AHP, as it seems to be difficult for many decision makers to fulfill Saaty’s “ten-percent rule-of thumb”. The way out: either you accept higher ratios (up to 0.15 or even 0.2), modify the judgements in the pair-wise comparisons, or you use the balanced scale instead of the standard AHP 1 to 9 scale. All three can be done in my updated AHP template from Februar 2013.
As I received many requests to extend the number of participants to more than 10, here the detailed procedure, how you can do it by yourself. Extending the number of criteria beyond 10 is more complex and not recommended by me. If you actually have more than 10 criteria please try to group in sub-groups. At the moment I don’t have any planes to extend the number of criteria to more than ten.
I also started a new topic: Diversity. Triggered by some business related questions, I found out that the concept of diversity – as applied in ecology – is very universal, and can be applied in many business areas. You can watch my introduction as video:
I already applied the concept in several areas, and even developed a new consensus indicator for group decision making based on the partitioning of the Shannon entropy. A paper is submitted for the ISAHP conference in June, and after the event I will place a copy of the paper on my site for download.
For those of you, interested in the topic of diversity and the partitioning in alpha (within group) and beta (in-between group) components my free BPMSG Diversity Calculator could be a useful tool.
Now please enjoy your visit on the site and feel free to give me feedback –
it’s always appreciated.
Klaus D. Goepel,
Singapore, May 2013
As I received many requests to extend the number of participants in my AHP excel template, here a short information how to use it for more than 20 participants. There are two possibilities
As the template is quite complex, I strongly recommend to use the first possibility. But if you really want to modify the template itself, follow the step-by-step instruction below. This instruction does not include the AHP consensus indicator calculation.
Note: {} is the Excel array function: mark cell area, and use Ctrl-Shift-Enter.
All matrices in the input sheets are named Matrixn, n = 1 to max. number of participants. (Matrix1, Matrix2, etc.)
The matrices in the multInp sheet are named “m_pn” (m_p1, m_p2, etc.)
The diversity calculator is an excel template that allows you to calculate alpha-, beta- and gamma diversity for a set samples (input data), and to analyze similarities between the samples based on partitioning diversity in alpha and beta diversity.
The template works under Windows OS and Excel 2010 (xlsx extension). No macros or links to external workbooks are necessary. The workbook consists of an input worksheet for a set of data samples, a calculation worksheet, where all necessary calculations are done, and a result worksheet “beta” displaying the results.
The template may be used to partition data distributions into alpha and beta diversity, it can be applied in many areas, for example
Let me know your application! If you just need to calculate a set of diversity indices, you can use my online diversity calculator.
Following data will be calculated and displayed:
Limitations:
Description of the template: BPMSG-Diversity-Calc-v14-09-08.pdf
Other posts explaining the concept of diversity
| PLEASE READ before DOWNLOAD |
| The template is free, but I appreciate any donation helping me to maintain the website. Thank you! |
BPMSG Diversity Calculator Excel Template Version 2020-07-05 (zip)
The work is licensed under the Creative Commons Attribution-Noncommercial 3.0 Singapore License. For terms of use please see our user agreement and privacy policy.
As this version is the first release, please feedback any bugs or problems you might encounter.
In my video “Diversity Index as Business KPI – The Concept of Diversity” I explain the mathematical concept of diversity introducing the Simpson Index λ and its complement (1-λ) as a measure of product diversification in markets.
Beside the Simpson Index there are many other indices used to describe diversity. I have developed a simple Diversity Excel template to calculate a couple of diversity indices for up to 20 categories. The following diversity indices are calculated:
For a quick calculation of diversity indices you might also use my online calculator
For calculation of Shannon entropy and its partitioning into independent alpha and beta components see here.
Any feedback is welcome!
