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@gveenhof4657
@gveenhof4657 Жыл бұрын
Hi thank you for you clear explanation of TOPSIS. I went through the original paper of TOPSIS, but isn't it that the current mathematical formula you are using in step 3. Is only for when all of the criteria are benefit criteria? In the paper there is being explained another form for normalisation for when there are beneficial and non beneficial criteria. As citation from Tzeng, G., & Huang, J. (2011). Multiple Attribute Decision Making: Methods and Applications: Form 2: - For benefit criteria (larger is better), the normalized rating is given by the formula: r_{kj}(x) = (x_{kj}-x^-_j)/(x^*_j-x^-_j), where x^k=max_kx*{kj} and x^-*k=min_kx*{kj} or setting x^*_j is the aspired/desired level and x^-_j is the worst level. - For cost criteria (smaller is better), r_{kj}(x) = (x^-*j-x*{kj})/(x^-_j-x^*_j), and then to calculate weighted normalized ratings by... Then comes step 5 from your video. To understand all of the TeX notation better, just use atomurl . net/math I love to hear your thoughts about this!
@highermathematicslearning2861
@highermathematicslearning2861 Жыл бұрын
Hi Thanks for your appreciation and question...I have normalized both the criteria (Benifit and Cost ) using same formula, this was further neutralize in step 7 in selection of ideal best and ideal worst where I have used different approaches for Benifit and Cost criteria. I hope this will help you.
@ansys5701
@ansys5701 Жыл бұрын
Thanks a lot Sir.
@highermathematicslearning2861
@highermathematicslearning2861 Жыл бұрын
So nice of you
@ashishsng
@ashishsng Жыл бұрын
nice explaination sir. Got full marks in exam because of this.
@highermathematicslearning2861
@highermathematicslearning2861 Жыл бұрын
Keep watching
@jiveshujjwal
@jiveshujjwal 2 жыл бұрын
thanks for explaining well
@highermathematicslearning2861
@highermathematicslearning2861 Жыл бұрын
Glad it was helpful!
@ksojoel
@ksojoel 2 жыл бұрын
Great explanation
@highermathematicslearning2861
@highermathematicslearning2861 Жыл бұрын
Thanks
@astitvabhardwaj1078
@astitvabhardwaj1078 2 жыл бұрын
Explanation was really good , just keep it up sir
@highermathematicslearning2861
@highermathematicslearning2861 Жыл бұрын
Thanks
@rezahatam1388
@rezahatam1388 3 жыл бұрын
Sir why you add the weight to the table?
@highermathematicslearning2861
@highermathematicslearning2861 3 жыл бұрын
Adding weight means I have introduced a new row for weights (These weights are criteria weights)
@shatadruchowdhury2917
@shatadruchowdhury2917 3 жыл бұрын
Well explained. Thanks 👍
@highermathematicslearning2861
@highermathematicslearning2861 3 жыл бұрын
Glad it was helpful!
@assadassad9664
@assadassad9664 4 жыл бұрын
dear friend ....thanks your very much
@highermathematicslearning2861
@highermathematicslearning2861 3 жыл бұрын
Thanks for visiting
@gabrielalucas5957
@gabrielalucas5957 4 жыл бұрын
Love it
@highermathematicslearning2861
@highermathematicslearning2861 3 жыл бұрын
Thanks
@anupamapatra7889
@anupamapatra7889 4 жыл бұрын
Hello sir.very nice lecture..sir then what will we do?if CR is greater than 0.10 ? Please tell sir
@relaxingcorner3145
@relaxingcorner3145 4 жыл бұрын
that was really helpful thank you <3
@highermathematicslearning2861
@highermathematicslearning2861 3 жыл бұрын
Glad it helped! Thanks
@sagarkapoor7008
@sagarkapoor7008 4 жыл бұрын
crystal clear concepts sir thank you sir
@highermathematicslearning2861
@highermathematicslearning2861 3 жыл бұрын
Thanks
@yashi5844
@yashi5844 4 жыл бұрын
Sir you said at the end that DM will choose car 4 but car 3 comes out to be most suitable?
@dr.pramodkapoor4891
@dr.pramodkapoor4891 4 жыл бұрын
crystal clear concepts thanks sir
@highermathematicslearning2861
@highermathematicslearning2861 3 жыл бұрын
Thanks
@yashi5844
@yashi5844 4 жыл бұрын
Very easy to understand 👍
@highermathematicslearning2861
@highermathematicslearning2861 3 жыл бұрын
Thanks for liking
@yashgarg877
@yashgarg877 4 жыл бұрын
Very helpful sir, thank you
@highermathematicslearning2861
@highermathematicslearning2861 3 жыл бұрын
So nice of you
@bishtmamta29
@bishtmamta29 4 жыл бұрын
Informative