Good day professor. @5:58 for normalizing the matrix. In the Camera column, you used 7 as the divisor. was that a mistake? because the total for camera shows 5.83. Thanks for the video sir
U came back to your video to say thanks for making this. I saw much stuff on the net for AHP but this is the top simple way of teaching you told. It helped me a lot. Really thanks
Such a neet and clean explanation..this hepls me to clear my concepts...thank you so much sir...May god bless you..keep helping us whenever you have time .
Hello! I am writing a graduation paper, part of which touched on this method, and unfortunately there are practically no videos on this topic in Russian(((( You helped me a lot, thank you!!!
hi Manoj, very understanding your explanation. thanks for the video, since in my master degree I’m studying this topic right now And I was a bit confused, now is crystal clear.
I like the explanation again :) thank you. I wanted to add that there are different methods to calculate the criteria weights. one of the most common ones is the eigenvalue.
Thank You for this video. I have finally understood the AHP concept from this after a struggle of many days at many places. I have cleared all my confusion as to how I can proceed with my research.
clean & Clear. couple of questions 1. What is i have more than 15 criteria to evaluate ? -> what will be the RI value for n > 15 2. how about selecting the alternatives ? -> after validating the criteria we should look at choosing alternative right ?
This is a great tutorial; but I think you may have an error in the fractions in your pair-wise comparison matrix. In the Camera column, the sum is 5.83, but you have divided through by 7. That makes a difference in the calculations going forward.
Thanks for posting this video. It has been informative. Would you please explain in a bit more detail how RI is obtained? I'm a bit confused on that part. Thank you.
Ok. As a layman, I have been searching for this model since I ran an audit department and we collaborated on what risk factors were more important than others. In the book that I used then, the author said to determine the eigenvalues (sorry of I’m not stating this correctly). I have the following questions. What are the eigenvalues in this example, if there are even eigenvalues? It seems to me all I needed to do back then was calculate the weights and there’s my answer as to risk rankings. Why would I need to carry the exercise to a point where I had to school myself back then on what an eigenvalue even was? I have always been upset at the author then for not showing the math. All he said was “calculate the eigenvalues.” Thank you.
Thanks for sharing. What is purpose of defining consistency. Pls make special video about consistency. What, when and how inconsistency. How to find out precisely in which part there is a source of consistency. Thanks
As the name itself suggest that consistency defines correctness of pairwise comparisons matrix. I will try to make a video on that also explaining the random index
@@manojmathew5287 I Cant get consistency ratio less than 1. I have tried 2 different types of combination in assigning pairs but the result is higher than 1
Thank you sir. After determining the weights of the criteria and performing the consistency test, how do we choose the phone according to the AHP method?
I'm pretty sure for about 1/3 of the squares he just threw in a random opinion on those ones to avoid calculations since it was all opinion-based from 1 to 9. That's how I've rationalized my confusion with the video. Because..man I was confused for most of it
Good day Professor. This video is well presented thank you. I used the same in actual for supplier KPI however CR resulted to more than. 10 meaning it's not consistent but I painstakingly followed as instructed. How to resolve inconsistency?
Thank you Manoj Mathew, really useful and well explained videos. Can I apply those methods AHP & Multi criterion on assessing 'experience-based' design of an urban space ? I have different variables such as cost ($), area (m2), number of seats (no), intensity of use (score) & user satisfaction at the environment (score)
Yes you can use these methods depending upon the requirement. please visit my webpage for more information mathewmanoj.wordpress.com/multi-criteria-decision-making/
Good Day Sir, thank you very much for your video. I have but one question. At the End we have calculated our decision weights, how are we then doing the comparison of alternatives?
@Freakschwimmer please watch my other videos on AHP to understand more about the method. ruclips.net/video/tlK5mVHMkUo/видео.html ruclips.net/video/VTZft7SpV0g/видео.html Hope this will solve all your doubts
Hi Professor. First of all, thank you very much for the clear explanation. I have a question. So, at the end you found the criteria weights and said this can be used for further calculation. Don't those criteria weights give us the final ranking? or the final ranking can only be calculated with the help of TOPSIS method? Can't we get the final ranking without using the TOPSIS method? Thank you in advance.
In the video I have only show the method to calculate weights. There are further calculation in AHP which give the final ranking of alternative. I have not shown it in the video.
@@manojmathew5287 Dear prof. could you please write here just the names of the steps after getting the criteria weights to get the final ranking? (by using only AHP method)
There are two type of problem: 1. Prioritisation of factors/criteria in which you need to rank the factors/criteria affecting the goal. 2. Ranking the alternative in which you find the best alternative by ranking them. Please refresh the link for more details on ranking alternative. ruclips.net/video/AlWdd-fEdjg/видео.html
Thanks for the video. I would like to ask for the case where the paired comparison takes place for many different stakeholders. Each stakeholder would provide a different matrix. How can I integrate all of those into one matrix? Should I average the matrices at the beginning or the final criteria weights at the end?
@ilias you can integrate pairwise comparison matrix of different stakeholders and combine them into one pairwise comparison matrix using geometric mean. Don't take average.
@@manojmathew5287 Thanks for your reply! Therefore, I will estimate the consistency ratio only once for the combined matrix. What is the reasoning for using the geometric mean?
@ilias : If the pairwise comparison matrix of individual stakeholders are consistent then the combined pairwise comparison matrix (created using geometric mean) will also be consistent, which may not be true in case of arithmetic mean.
Professor Manoj, I would like to know the principle how to consolidate the data from two or more AHP expert opinions. It would be great if you post a video about that.
Suppose you have 3 experts then, you will get 3 pairwise comparison matrix. You can aggregate the 3 pairwise comparison matrix and form a single combined pairwise comparison matrix by geometric mean.
Hi, thank you so much for your explanation but may you tell me from which references you could get this point that we can compute the consistency index and Geomean in Fuzzy AHP
8:52 where did Random Index came from? How did you come up to that values? And where did you get that 0.10 value? Hope you can answer mi ASAP. Thank you professor.
Hello. Values of RI are standardized. You can check any references. However, when I did check them, some have slightly different RI values from Saaty. But as the sample increases, the values become closer to each other :)
Hey, I am also stuck at the same point. Did you figure that out, how to use this weightage for further process as data is in different units? It would be great if you could help me
Thank you sir. Great way of explanation. Please clear my doubt that-From exam point of view how can we assign weights in the initial matrix to get consistent value of CR(CI÷RI)?
Thank you for uploading this video. It really helped! I would like to ask why you didn't take into account cost columns - ones we want to have the lower value as beneficial, not higher - in normalization part? When it was considered, consistency_ratio changes pretty obviously. Thanks in advance for any response
According to your teaching, the value of the lower triangular matrix should be an inverse to the upper triangular matrix (Ex. 5 and 1/5, 4 and 1/4) Can this rule be breached? Because I saw some table of AHP research papers that the value isn't inversed. (Ex. if use your example, row12 is 5 but row21 is not 1/5, it is something else) I am very confuse. I don't know if it is a typo in those paper or there is extra rules that I don't know. Please answer, thank you very much
For pair-wise comparison, the levels should be described in relative terms that imply how important is one related to the other, such as: Slightly more important, Moderately more, Much more, Extremely More (Equal is Ok). The explanation given uses absolute terms (Moderate Importance, Strong Importance, Very Strong Importance, ) which do not describe a relationship, but an absolute value compared to some external idea.
![Noob To Max With DRAGON REWORK In Blox Fruits [FULL MOVIE]](http://i.ytimg.com/vi/LnBMOinoOvA/mqdefault.jpg)
Good day professor. @5:58 for normalizing the matrix. In the Camera column, you used 7 as the divisor. was that a mistake? because the total for camera shows 5.83. Thanks for the video sir
Ya that's a typographical mistake which i missed. Thanks for identifying the error. Although the further calculations are all right.
Yes, I did find this too.
Thank you sir for your explanation! This is the first resource I got where I could understand all the terms of AHP. You have saved me !
The best AHP explanation I have ever seen! Thank you very much!
U came back to your video to say thanks for making this.
I saw much stuff on the net for AHP but this is the top simple way of teaching you told. It helped me a lot.
Really thanks
Thank you for saying "Random Index" with such flourish such that I will never forget what RI stands for
Good day
This must be the best explained weighting video so far.
Thank you so much Sir...i have solved my project after watching your video....thanks again..May GOD bless you
Omg 🎉 this is the best channel for learning MCDA 😍
Such a neet and clean explanation..this hepls me to clear my concepts...thank you so much sir...May god bless you..keep helping us whenever you have time .
Thanks Shashank, please subscribe my channel and also press the bell icon
Hello! I am writing a graduation paper, part of which touched on this method, and unfortunately there are practically no videos on this topic in Russian(((( You helped me a lot, thank you!!!
hi Manoj, very understanding your explanation. thanks for the video, since in my master degree I’m studying this topic right now And I was a
bit confused, now is crystal clear.
I like the explanation again :) thank you. I wanted to add that there are different methods to calculate the criteria weights. one of the most common ones is the eigenvalue.
Hi could you please share links related to calculate criteria weights by eigen values method.
Thank you very much Professor. This is the simplest step that I can understand!
Thank you so much!! My final is this Monday and this made me feel a lot better
This the excellent lesson I have ever seen on AHP. Thanks. Please make a video on Delphi.
Thank You for this video. I have finally understood the AHP concept from this after a struggle of many days at many places. I have cleared all my confusion as to how I can proceed with my research.
Well done Sir, this is the best explanation i came across so far. Thanks
Excellent sir ..... I can't say how much I helped from your vedio 🙏🙏🙏🙏🙏🙏
clean & Clear.
couple of questions
1. What is i have more than 15 criteria to evaluate ? -> what will be the RI value for n > 15
2. how about selecting the alternatives ? -> after validating the criteria we should look at choosing alternative right ?
Totally awesome video.. Very easily you explained everything.
sir you just have saved someones life!
This video is really useful. Thanks for the good explanation
Such a neet &clear explanation ❤ best
Very informative!! Nicely explained!! Thank you very much!
Thank you for very simple and extremely helpful explanation! Keep up with excellent work!
Thank you very much, this method will help me doing my project on a seminar.
you save me, professor. I really appreciate you!
This is a great tutorial; but I think you may have an error in the fractions in your pair-wise comparison matrix. In the Camera column, the sum is 5.83, but you have divided through by 7. That makes a difference in the calculations going forward.
Excellent video Sir. Very nicely explained.
Thank you for the video. It was descriptive as well as precise.
Quite easy to follow. Thanks alot Manoj
Thanks for posting this video. It has been informative. Would you please explain in a bit more detail how RI is obtained? I'm a bit confused on that part. Thank you.
Thanks Manoj for a very easy explanation of AHP, looking forward to follow more videos on different models... cheers :)
Thank you, Professor! Keep up the good work!
Thank you sir for allowing me to have better understanding on AHP.
Thank you so much 👍 I was trying to understand the matrix calculation ... finally I found it
Excellent Video Sir. Thanks a lot.
Very lucidly explained, thank you
Thank you sir for such a informative vdo ...very useful and well understood
sir your videos are very informative and easy to understand.
Very well explained. Thank you for making this process so clear
Great video sir!
This was immensely helpful. Thanks Sir .
Thank you so much for this tutorial. Its clear and easy.
Ok. As a layman, I have been searching for this model since I ran an audit department and we collaborated on what risk factors were more important than others. In the book that I used then, the author said to determine the eigenvalues (sorry of I’m not stating this correctly). I have the following questions. What are the eigenvalues in this example, if there are even eigenvalues? It seems to me all I needed to do back then was calculate the weights and there’s my answer as to risk rankings. Why would I need to carry the exercise to a point where I had to school myself back then on what an eigenvalue even was? I have always been upset at the author then for not showing the math. All he said was “calculate the eigenvalues.” Thank you.
nikhil raj jainvi Thank you!
Thank you.. It was really helpful.
Thank you for this quick and super useful tutorial!
Thanks alot sir....u have explained it very nicely and easily
Thank you very much for this clear explanation
Thank you sir. It was a nice presentation.
Thanks for sharing. What is purpose of defining consistency. Pls make special video about consistency. What, when and how inconsistency. How to find out precisely in which part there is a source of consistency. Thanks
As the name itself suggest that consistency defines correctness of pairwise comparisons matrix. I will try to make a video on that also explaining the random index
@@manojmathew5287 I Cant get consistency ratio less than 1. I have tried 2 different types of combination in assigning pairs but the result is higher than 1
Please refer ruclips.net/video/VTZft7SpV0g/видео.html
Keep up the good work!!!
Thank you!! You explained it so clearly and concisely.
Thank you sir.
After determining the weights of the criteria and performing the consistency test, how do we choose the phone according to the AHP method?
Definitely go with mobile 5
5:55 why did you divide the camera performance value by 7? Why not by 5.83?
I'm pretty sure for about 1/3 of the squares he just threw in a random opinion on those ones to avoid calculations since it was all opinion-based from 1 to 9. That's how I've rationalized my confusion with the video. Because..man I was confused for most of it
@@carsonsugden9807 Can you explain once again?
Thanks a lot! You’ve saved my day.
Good day Professor. This video is well presented thank you. I used the same in actual for supplier KPI however CR resulted to more than. 10 meaning it's not consistent but I painstakingly followed as instructed. How to resolve inconsistency?
Great video. Helped a lot! Thanks!
Great video! Could you please tell me what's lambda max? I am unsure about why we use that in the equation.
Thanx, it was really well explained without any complexities.
Thank you for the video Proffesor!
Thanks dear it's really helpful for us ........
Thank you. Just what I was looking for :)
Thanks. It is really helpful and easy to understand.
Thank you professor, you saved me
Thank you Manoj Mathew, really useful and well explained videos.
Can I apply those methods AHP & Multi criterion on assessing 'experience-based' design of an urban space ?
I have different variables such as cost ($), area (m2), number of seats (no), intensity of use (score) & user satisfaction at the environment (score)
Yes you can use these methods depending upon the requirement. please visit my webpage for more information
mathewmanoj.wordpress.com/multi-criteria-decision-making/
@@manojmathew5287 can i get ur contact no ?
Need some help
Thank you sir. Its very useful for me.
Professor Manoj, I would love to watch Fussy TOPSIS in your coming up videos. thanks
Thank you sir for the helpful video, but I cannot understand who you are calculating the Random Index (RI) value?
thank you professor very useful lesson
Good Day Sir, thank you very much for your video. I have but one question. At the End we have calculated our decision weights, how are we then doing the comparison of alternatives?
@Freakschwimmer please watch my other videos on AHP to understand more about the method.
ruclips.net/video/tlK5mVHMkUo/видео.html
ruclips.net/video/VTZft7SpV0g/видео.html
Hope this will solve all your doubts
@@manojmathew5287 Thank you! :D
Hi Professor. First of all, thank you very much for the clear explanation. I have a question. So, at the end you found the criteria weights and said this can be used for further calculation. Don't those criteria weights give us the final ranking? or the final ranking can only be calculated with the help of TOPSIS method? Can't we get the final ranking without using the TOPSIS method? Thank you in advance.
In the video I have only show the method to calculate weights. There are further calculation in AHP which give the final ranking of alternative. I have not shown it in the video.
@@manojmathew5287 Dear prof. could you please write here just the names of the steps after getting the criteria weights to get the final ranking? (by using only AHP method)
There are two type of problem:
1. Prioritisation of factors/criteria in which you need to rank the factors/criteria affecting the goal.
2. Ranking the alternative in which you find the best alternative by ranking them.
Please refresh the link for more details on ranking alternative.
ruclips.net/video/AlWdd-fEdjg/видео.html
@@manojmathew5287 Thank you very much for the answer, professor!
Dear professor, should we calculate consistency for each sub-criteria ?
Thanks for the video. I would like to ask for the case where the paired comparison takes place for many different stakeholders. Each stakeholder would provide a different matrix. How can I integrate all of those into one matrix? Should I average the matrices at the beginning or the final criteria weights at the end?
@ilias you can integrate pairwise comparison matrix of different stakeholders and combine them into one pairwise comparison matrix using geometric mean. Don't take average.
@@manojmathew5287 Thanks for your reply! Therefore, I will estimate the consistency ratio only once for the combined matrix. What is the reasoning for using the geometric mean?
@ilias : If the pairwise comparison matrix of individual stakeholders are consistent then the combined pairwise comparison matrix (created using geometric mean) will also be consistent, which may not be true in case of arithmetic mean.
@@manojmathew5287 Thanks for your reply!
Hi Manoj, this is great, thanks for your detailed explanation. How do you calculate the Random Index figures?
Many thanks professor manoj. Looking for another your videos.
thanks for the complement, do tell me about the mcdm methods which you are looking forward
Thanks for this video. Pleas can you implement GIS and MCDM?
Professor Manoj, I would like to know the principle how to consolidate the data from two or more AHP expert opinions. It would be great if you post a video about that.
Suppose you have 3 experts then, you will get 3 pairwise comparison matrix. You can aggregate the 3 pairwise comparison matrix and form a single combined pairwise comparison matrix by geometric mean.
@@manojmathew5287 Can you tell what is the reason to use geometric mean? Thanks!
Hi, thank you so much for your explanation but may you tell me from which references you could get this point that we can compute the consistency index and Geomean in Fuzzy AHP
Explained very well sir!
Good explaination. Thanks.
dear sir , great vidio but i dont understend in 7:52 how did get the value of 4.1762 4.0225 4.1553 4.0488? pls explane how did you solve it ?
8:52 where did Random Index came from? How did you come up to that values?
And where did you get that 0.10 value?
Hope you can answer mi ASAP. Thank you professor.
Hello. Values of RI are standardized. You can check any references. However, when I did check them, some have slightly different RI values from Saaty. But as the sample increases, the values become closer to each other :)
You can check Saaty (1980) for reference. I think it is very useful ^_^
@@vensoncai5485 Thank You!
really good explanation
Thank you so much for all your information 👏🏽👏🏽👏🏽
Very Well Explained
Thankyou for the video. We got the weightage. How to use this weightage for further process as data is in different units?
Hey, I am also stuck at the same point. Did you figure that out, how to use this weightage for further process as data is in different units? It would be great if you could help me
Simple and easy to understand
Thanks for a great video. I have a question, is the sums of criteria weights must equal 100% or not?
THANKS FOR THE VIDEO SIR..
So clear and so helpful. Thank you Sir!
Wonderfully explained
Thank you very good explanation.
Very good presentation
Thank you sir. Great way of explanation.
Please clear my doubt that-From exam point of view how can we assign weights in the initial matrix to get consistent value of CR(CI÷RI)?
Hey
@7:52 when you calculate the ymax using the average, was it not supposed to be the maximum value instead of the average?
Best regards
This is quite helpful! Professor, can you do fuzzy TOPSIS and fuzzy AHP as well? Many thanks!
Edward Wong sure i will explain fuzzy mcdm methods soon in my upcoming videos
waiting for that :) Thanks for sharing valuable knowledge Prof.
Thank you for uploading this video. It really helped! I would like to ask why you didn't take into account cost columns - ones we want to have the lower value as beneficial, not higher - in normalization part? When it was considered, consistency_ratio changes pretty obviously. Thanks in advance for any response
According to your teaching, the value of the lower triangular matrix should be an inverse to the upper triangular matrix (Ex. 5 and 1/5, 4 and 1/4)
Can this rule be breached? Because I saw some table of AHP research papers that the value isn't inversed. (Ex. if use your example, row12 is 5 but row21 is not 1/5, it is something else)
I am very confuse. I don't know if it is a typo in those paper or there is extra rules that I don't know.
Please answer, thank you very much
No this rule cannot be breached. Check it once more, it will be represented in decimal form.
very well described, thanks
For pair-wise comparison, the levels should be described in relative terms that imply how important is one related to the other, such as: Slightly more important, Moderately more, Much more, Extremely More (Equal is Ok). The explanation given uses absolute terms (Moderate Importance, Strong Importance, Very Strong Importance, ) which do not describe a relationship, but an absolute value compared to some external idea.
since we are looking at pairwise comparisons, i think it is assumed that the levels are relative