You can get info on CI at www.researchgate.net/profile/Manuel_Serafin_Plasencia/post/Where_can_I_find_Saatys_Random_Index_for_n10/attachment/59d64169c49f478072eaad4d/AS%3A273796336947208%401442289541186/download/Saaty%2C+Tran.+2007.+On+the+invalidity+of+fuzzifying+numerical+judgments+in+the+Analytic+Hierarchy+Process.pdf
In PCM weightage is given based on review so it will change expert to expert review. So how can we know the accuracy of our weightage ? Please explain.
Preference can vary from expert to expert and thats ok because when you are dealing with multiple attributes the best solution is the one that gets you closest to your preference.
Consistency check is used to check if the pair vise comparison of attributes has been done correctly. If the check passes then we can use the AHP results
Very nice to understand ..but how i calculate CI in 3 variable fuzzy matrix.. example- [(1,2,3,) (6,9,7) (5,9,1)] [(7,4,2,) (1,3,1) (2,7,8)] [(6,5,4) (9,3,2) (4,9,5)] This is 3*3 matrix... How i fine largest value of matrix ..¥max
You can find details on CI at www.researchgate.net/profile/Manuel_Serafin_Plasencia/post/Where_can_I_find_Saatys_Random_Index_for_n10/attachment/59d64169c49f478072eaad4d/AS%3A273796336947208%401442289541186/download/Saaty%2C+Tran.+2007.+On+the+invalidity+of+fuzzifying+numerical+judgments+in+the+Analytic+Hierarchy+Process.pdf
I think it is very useful for me..and for others who will try this manually..
Do these calculations also hold for FAHP
great explanation
Thank you
Please, I to do the same calculations with FuzzyAHP?
Could you clarify this by an example?
Thank you so much, it was really good tutor .
Thank you
Hi. Firstly, thank you very much for the video. I have a question. Should we calculate consistency for each sub-criteria?
Use consistency check when ever you do any pair wise comparison to validate your results
Thanks a lot, just one question, how did you get the Randomom Index table? I mean, based on which method?
You can get info on CI at www.researchgate.net/profile/Manuel_Serafin_Plasencia/post/Where_can_I_find_Saatys_Random_Index_for_n10/attachment/59d64169c49f478072eaad4d/AS%3A273796336947208%401442289541186/download/Saaty%2C+Tran.+2007.+On+the+invalidity+of+fuzzifying+numerical+judgments+in+the+Analytic+Hierarchy+Process.pdf
Thank you
How do you get the preference vector?
I have a video that shows you how to get the preference vector -> ruclips.net/video/KWJUCXpnkmw/видео.html
In PCM weightage is given based on review so it will change expert to expert review. So how can we know the accuracy of our weightage ? Please explain.
Preference can vary from expert to expert and thats ok because when you are dealing with multiple attributes the best solution is the one that gets you closest to your preference.
Why we need consistency check on the precipitation data...
Explain plz
Consistency check is used to check if the pair vise comparison of attributes has been done correctly. If the check passes then we can use the AHP results
Thank youuuuuuuuuuuuuu sirrrrrrrrrr!!!!!
Very nice to understand ..but how i calculate CI in 3 variable fuzzy matrix.. example-
[(1,2,3,) (6,9,7) (5,9,1)]
[(7,4,2,) (1,3,1) (2,7,8)]
[(6,5,4) (9,3,2) (4,9,5)]
This is 3*3 matrix... How i fine largest value of matrix ..¥max
You can find details on CI at www.researchgate.net/profile/Manuel_Serafin_Plasencia/post/Where_can_I_find_Saatys_Random_Index_for_n10/attachment/59d64169c49f478072eaad4d/AS%3A273796336947208%401442289541186/download/Saaty%2C+Tran.+2007.+On+the+invalidity+of+fuzzifying+numerical+judgments+in+the+Analytic+Hierarchy+Process.pdf