Thank you Professor and this has helped me with doing my weighted scoring model!

Excellent this is exactly what I was looking for. This is great for making point scoring systems for video games.

Still useful 12 years later.. Thanks

Thank you professor! You put this in such simple terms, my own instructor here at the states made it a bit more complicated than it needed to be. Cheers!

@kashikaushik3913

3 жыл бұрын

Can u explain dis to me

You saved my life thank you !

Nice! Thank You Eugene O'Loughlin

Thanks so much for this life saver for real!!

great help for uni cost -analysis

thank you. i have a question. is this the same as Attribute Listing Model?

Eugene... This is brilliant

Thankyou very much!

Great presentation,

Thank you Professor

Very helpful, thank you 🙏🏽

Thank you for your effort 😁👌🏼

Thank you

Thankyou Sir, this is helped me

As with all you Problem Solving Techniques videos this is a well presented and logical explanation of the issue, thank you. Can you give an example with "real" requirements so I can better understand the application in a real life scenario?

Is there a way to determine the true percentage weight of all those weighted factors in your list? Like, say I wanted to determine what variables were responsible for some event, and how important each variable was in that event. Is there a formula for that? Thanks if anyone ends up answering.

Thanks very much.

thanks dawg

How do we decide the number for A, B and C etc. If we each group member have different number in mind? Do we do an average of everyone's number? Appreciate your reply.

How do you use Excel formulas to do this??

Superb

Thank you Dr. Really learned and enjoyed. If you can shed some light on how to assign/ decide a weight percentage to each criteria, it would be great.

@recoveringintrovert717

11 ай бұрын

I second this

anyone has the matlab or c++ or c code of this method it would be greatly helpfull

Do the weights always need to equal 100% ? Thank you!

@jamilak8161

2 жыл бұрын

Yes they do. 100% is always apportioned when dealing with percentages.

siyabonga!!!

A "requirement score" lost me. I am guessing it means the options you're assessing against each other.

@gol_d_nad3161

6 жыл бұрын

Yes

Working experience 10 years

Hi Sir, Can I request you to explain why weightage should be 100% and not exceed 100%

hello. I am an ındustrial enginnering student. I want to learn something about WSM. If we have negative factor can we use this method. We are trying the solve question. In our question includes positive and negative effects. In second question in video risk was taken positive. In our question risk is negative effect. Therefore negative effect, when we want to calculate we had negative number. Do you have any opinion about this problem. Thanks for your interested in.

thank you ahbal

@EugeneOLoughlin

6 жыл бұрын

Ouch - isn't "ahbal" hebrew for "stupid"???

@oz2770

6 жыл бұрын

it is Arabic for "stupid"

How did they decide what the requirement score is ?

@EugeneOLoughlin

8 ай бұрын

Hi MsUdy, The figures in my video are for illustration purposes to show how this technique works. Usually figures like this will come from feedback, survey responses, ratings, test results, etc. It may even be from a group of people where the score is an average of individual ratings. Hope this helps, Dr E.

Rank scoring ???

For weighted scoring, is it necessary for the requirement scores to all be out of 100? For example, if requirement score A is out of 10 but requirement B is out of 100, will that affect the total outcome of the weighted score?

@sochimaonye1274

4 жыл бұрын

I was thinking the same thing except my requirement scores are out of 5 instead of 10.. (i was thinking maybe expanding and doing it out of 10 but this is basic concept model first)!!

@lisatena840

4 жыл бұрын

I actually think that makes a lot of sense

Goatmout - did you watch the video?

If risk is a negative score, would it be correct to give the highest risk the lowest score, and vice versa? So negative factors are graded the other way around to preserve the fact that the highest score has the highest potential/priority.

Thank you