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
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.
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!!!
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 .
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.
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.
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.
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?
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?
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.
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
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
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!
Thank you for saying "Random Index" with such flourish such that I will never forget what RI stands for
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
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
Thank you very much Professor. This is the simplest step that I can understand!
Omg 🎉 this is the best channel for learning MCDA 😍
Thank you so much!! My final is this Monday and this made me feel a lot better
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.
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!!!
Thank you very much, this method will help me doing my project on a seminar.
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
This video is really useful. Thanks for the good explanation
Very informative!! Nicely explained!! Thank you very much!
sir you just have saved someones life!
This the excellent lesson I have ever seen on AHP. Thanks. Please make a video on Delphi.
Totally awesome video.. Very easily you explained everything.
Such a neet &clear explanation ❤ best
Thank you for the video. It was descriptive as well as precise.
Thank you sir for allowing me to have better understanding on AHP.
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.
Excellent sir ..... I can't say how much I helped from your vedio 🙏🙏🙏🙏🙏🙏
Thank you so much 👍 I was trying to understand the matrix calculation ... finally I found it
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.
Very lucidly explained, thank you
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 ?
Excellent video Sir. Very nicely explained.
Thank you so much for this tutorial. Its clear and easy.
Quite easy to follow. Thanks alot Manoj
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.
Great video sir!
Well done Sir, this is the best explanation i came across so far. Thanks
Thank you for very simple and extremely helpful explanation! Keep up with excellent work!
Excellent Video Sir. Thanks a lot.
you save me, professor. I really appreciate you!
Very well explained. Thank you for making this process so clear
Professor Manoj, I would love to watch Fussy TOPSIS in your coming up videos. thanks
Thank you very much for this clear explanation
Thank you sir for such a informative vdo ...very useful and well understood
Thank you for this quick and super useful tutorial!
sir your videos are very informative and easy to understand.
Thank you, Professor! Keep up the good work!
Thank you.. It was really helpful.
This was immensely helpful. Thanks Sir .
Great video. Helped a lot! Thanks!
Keep up the good work!!!
Thanks. It is really helpful and easy to understand.
Thanks alot sir....u have explained it very nicely and easily
Thank you!! You explained it so clearly and concisely.
Thanx, it was really well explained without any complexities.
Thanks dear it's really helpful for us ........
Thank you for the video Proffesor!
thank you professor very useful lesson
Good explaination. Thanks.
Thank you very good explanation.
Thanks a lot! You’ve saved my day.
Thank you professor, you saved me
Thanks Manoj for a very easy explanation of AHP, looking forward to follow more videos on different models... cheers :)
Simple and easy to understand
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
Thank you sir. It was a nice presentation.
Great video! Could you please tell me what's lambda max? I am unsure about why we use that in the equation.
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
Thank you sir. Its very useful for me.
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. Just what I was looking for :)
Explained very well sir!
Thank You for your knowledge
THANKS FOR THE VIDEO SIR..
very well described, thanks
Just wanna say thank you sir, if u have matlab read this and solve problem on excel, that would be more than just great.
So clear and so helpful. Thank you Sir!
This was awesome. Thanks.
Very Well Explained
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!
really good explanation
Very good. Thank you.
Thank you so much for all your information 👏🏽👏🏽👏🏽
Thanks for Ahp calculation.
thanks. I am waiting for Topsis method.
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?
Great explanation!
Wonderfully explained
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!
Thanks for the video.
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
Thanku .It is really usefull section
well explained! Thank you
Thanks very much prof....
Thank you! It helps me! :)
You are amazing
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 so much, professor.
I LOVE YOU!!!
Thanks for this video. Pleas can you implement GIS and MCDM?
Hi Manoj, this is great, thanks for your detailed explanation. How do you calculate the Random Index figures?
thanks so much Prof Manoj. This can be done in excel