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dmt learning
Добавлен 29 июн 2017
Видео
Inauguration of Gyansarovar 2019 by Shri Ashutosh Tripathi, Plant Head, Mahindra & Mahindra, Nagpur
Просмотров 333 года назад
Inauguration of Gyansarovar 2019 by Shri Ashutosh Tripathi, Plant Head, Mahindra & Mahindra, Nagpur
Arthashastra Analysis of the Indian Union Budget
Просмотров 303 года назад
Arthashastra Analysis of the Indian Union Budget
Blockchain and its Application to BFSI
Просмотров 133 года назад
Blockchain and its Application to BFSI
Interpretive Structural Modelling-Simple Example- Dr. Rahul Mohare
Просмотров 23 тыс.4 года назад
Interpretive Structural Modelling-Simple Example- Dr. Rahul Mohare
Interpretive Structural Modelling - Dr. Rahul Mohare
Просмотров 8 тыс.4 года назад
Interpretive Structural Modelling - Dr. Rahul Mohare
Criteria Weight Calculation by Method of Entropy-Dr. Rahul Mohare
Просмотров 7 тыс.4 года назад
Criteria Weight Calculation by Method of Entropy-Dr. Rahul Mohare
Criteria Weight Calculation By Mean and SD-Dr. Rahul Mohare
Просмотров 5014 года назад
Criteria Weight Calculation By Mean and SD-Dr. Rahul Mohare
Dummy Variable Regression Analysis using R Commander
Просмотров 6144 года назад
Dummy Variable Regression Analysis using R Commander
Lin log Regression Model using R Commander
Просмотров 1514 года назад
Lin log Regression Model using R Commander
Log lin Regression Analysis using R Commander
Просмотров 1644 года назад
Log lin Regression Analysis using R Commander
Log log Regression Model using R Commander
Просмотров 9554 года назад
Log log Regression Model using R Commander
Stepwise Regression Analysis using R Commander
Просмотров 1824 года назад
Stepwise Regression Analysis using R Commander
Multiple Regression Analysis using R Commander
Просмотров 1,1 тыс.4 года назад
Multiple Regression Analysis using R Commander
hello .. this is really nice video i need help to understand entropy .... as the value of composite index is too small. i need to understand that y it is so ?
Can you send me this file drive order to refer more time :> thank you
Dear teacher is ki pdf file ml sakhti hai
Hi, Dr. Rahul Mohare sir. Could you give me that Excel sheet sir? That will help me. The explanation is perfect.
thank you easy to understand
Nice video! Good Morning Sir! Sorry to disturb you. Sir, if I want to rank few entities based on some beneficial and non-beneficial financial criteria having data value in positive, negative and zero, then (QUESTION 1) which MCDM techniques should I use to rank them? (QUESTION 2) In such scenario, generally whether Distance-Based approach is preferable or outranking based approach is preferable?
Very informative. Keep it up
Very informative. Keep it up.
Next videoes link
Sir I have a query how can I contact you
While creating normalized matrix the method used for benificiary method should be used for non-benificiary methods and vice-versa. For reference viewers may look at the introductory video of the MCDM (ruclips.net/video/ULaFmacJ_bQ/видео.htmlfeature=shared) where at 25:19 min look at Linear:sum(N3) [14].
Thank you!
thanks then the rest
Should the sum also be included while calculating the normalization value? i.e. should the sum of beneficial value would also be included in the total sum of the denominator as shown in ruclips.net/video/xA7tiHI_cEM/видео.html while calculating Normalization Matrix?
you have not included the optimal value in denominator while calculating normalization matrix!
Could you share the excel sheet that you have done calculations on?
what if the criteria has a negative value. how to take the LN of (-a)
How I can geometric mean integrating expert views ?
I searched a lot, but I did not find a video showing how to manage the data of all respondents in one table I know how to manage each table separately and then transfer it to the binary system (0,1), but how do I process all this data so that it becomes one table .. Please, I only need five minutes of your time to share a video link that explains this step or explain it to me, as for the rest of the steps, I understand them well
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 1. 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 2 from your video. To understand all of the TeX notation better, just use atomurl . net/math I love to hear your thoughts about this!
hello sir, in this video you explain the data from one expert, so I have 12 experts respondence, how i calculate them and do the next steps
Thank you so much sir
What does 1* mean on the RFM?
I think this is a wrong explanation. 53:52
Dear Sir, can you please explain the process of getting fuzzy stablize matrix
sure will upload soon
How should one divide the micmac graph and decide the location of the lines for dividing the quadrants?
How to get weighted matrix
Do we need other people to fill out the reachability matrix for validity? or can the researcher can do it?
researcher in consultation with subject/industry experts
Good explanation ma'am can u upload the explanation about psychological, organisational and environmental factors
so if i want to send it to respondents , which app i should use to design this matrix
matrix is to be designed by investigator along with the subject/industry experts
There is an error on the slides. The unidirectional relations are represented with V and A and no relation is represented with O.
Your accent is top notch for this video
what is your whatsup number to send our question please /????
what software you using? where can i download it?? please sir
I did it in MS Excel only
If after the elimination of 10 for example, for the level 2 there is no similarity bwt R set and Inter set then what we gonna do?
What are you considering "10" as?
@@rahulvmohare2209 I consider 10 as a component that I have determine its position in ism model, and the aim is to determine other positions. I am still a lit bit confused, can you help me at this part?
The paper suggested in the video actually nullifies the efficiency of the entropy method contrary to youir opinion
No, its the same
Hi, I have a question please: What if some values are randomly missing? E.g. in row one, the "weight" is missing for Brand 1; in row three, "RAM" is missing for Brand 3. In that case, how to calculate the h, e and d please?
For missing values, we can not proceed, we need to have the complete set of values, still i will go through the literature, books and other resources and will let you know, sorry for late reply
@@rahulvmohare2209 No problem, thanks. I look forward to hearing your suggestions. For now, I will fill the missing value with the usual methods e.g. global or local mean, or median values.
Thanks for this great video. However I see a little mistake on PDA matrix. Even having clasified beneficial and non-beneficial criterias, you used the same formula for both. EDAS method has different formulas for each case even if data are in the same matrix. Thank you for this good video anyway. Greetings from Colombia
Hi, Dr. Rahul Mohare. Firstly, thank you for this explanation. I would like to know, how did you determine the equal weight of 0.20 in this particular example?
Sir 1 am getting 4 levels at level 1
Hello, good explanation. But, You have made a mistake in calculating the preference of WASPAS. the second part of the equation must be 1 minus lambda multiplied by Q2 values
this is correct? column AH?
Finally is the same if lambda value is 0.5.
Thanks for the video. Now, how do you compare groups, i.e. which are significantly different and which are not? Like something similar to post hoc test, that shows the groups and uses letters to show which are significantly different and not.
Sir please share ur PPT!!
Can you please share your whats app group number
Dear Dr Rahul, its a wonderful explanation of a new MCDM for me ... EDAS .. however I am a bit confuse on Weighted Matrix ... how could you determine the value (0.20 for all) it in this case ? Thanks a lot
Nice explanation , could you advise, i already uploaded rcmdr but my system didn't shown one way ANOVa, what should i do ?
I'm very grateful. Your video was helpful.
Hello I need the database please
What is the analytics program? Microsoft Excel, SPSS, other...? Thank you.
Please show how to analyze each step of the data using the program.
in minute 30. why midpoint for y-axis is 6 and x-axis is 7.
How can we check and apply transitive relations?