Hey Brian, it is so wonderful to see that how you make literally anything look way simpler than they actually are! Looking forward to see the following sections!

Really looking forwards to the rest of this series. Super useful

This type of work is the one that deserves support. Just to show some appreciation.

If Brian uploads video then I am happy.. ok thats hard logic

What a great explanation, once again!

Awsome! Such an amazing and intuitive video about this topic.

Thank you a lot! Your videos are amazing!

Thank you for the amazing video, it was really helpful

Hello, thank you, very clear explanation. I just have a question: The centroid we get at defuzzification step, is that in fuzzified values for the output variable (0-1), or crisps value? Because when you plot 3d surface, all seem to be in crisp value? Thanks.

Thanks for the great explanation. Is it possible to get the link for the application you used in the video?

very very cool. You are an amazing teacher brian, thank you.

Excellent illustrations !

wow, such a great explaining, thank you, one question please, I just couldn't understand why you chose a specific shape of membership for each one of the inputs? why couldn't all be gaussian for example? thank you again

Great Video!! I don't known the fuzzy analysis and the video it was very clear. I will try this kind of solution in some real life situation.

Wonderful job and just great. Thank you very much

You rock man:) Keep it up.

absoultely amazing

Best explanation Congrats

Very good illustration level. My special thanks ❤

Very neat explanatory, thank you

so good. loved it.

Fantastic content - thank's a lot!

great explanation. thanks

crazy! tks a lot Brian, u made it simple and understandable! hat off!

@MATLAB

2 жыл бұрын

Glad it helped!

Nice video. Could you please provide us the fuzzy raw file you developed rather than using the toolbox?

Master piece class thanks

How did the 4th rule get added to the 3rd rule to produce the new value of High? Did you connect them by OR?

It's a great explaination

Waiting for the next video

hi Sir , I hope that ur fine i have question what 's the diffirent if we use a TRAPEZOID fonction or GAUSSIENNE Fonction or TRIANGLE fonction?

I wish you include MATLAB example file with this excellent illustration

This is great and all, but I for one already interacted with making an FIS by using it with the tip example. Would like to see real applications of FIS with AI somewhere, lol. Though I will say that so far this has been the greatest walkthrough for demonstrating the fuzzy system.

@cizma27

2 жыл бұрын

Exactly. I'm supposed to make multiple inputs and multiple outputs fuzzy model and KZread isn't being helpful :)

Hi Brian, thank you for your informative video! I have a question related to the graph shown in 15:32. Accross the whole service range, we can see a small dip in tip amount around food quality '8'. Is it not weird that the tip amount is slightly higher for food quality 6 than for food quality 8? I tried myself making such FIS and I wonder if there's a way of avoiding this, or should I see this as a small downside of the FIS approach?

Dear brian , can u provide us with the matlab codes and simulink you've shown us in the videos?

How to find rules on the basis of clusters using fuzzy c means Please explain

Very interesting

Is it possible to create the model using the neuro fuzzy designer but deploy the model to html

great!

how to change the scale of y-axis in Fuzzy logic Designer?

Can this type of layout is really in matlab? Or just edited?

when is the next part expected?

Can someone help me to give video link of part 1?

2:25 why is is 55/45 and not 50/50? It seems like 7 is the midway point

I will reassure everyone that if the food is dog and the service is dog, the tip will be a nice round 0%

Fuzzyfierr : V1 > degree of membership 1 rule based inference : Degree of membership v 1 > Degree of membership v2 Defuzzifier :Degree of membership 2 > v 2

How I hope if I had watched this 6 months ago ~~

Translating Matlab to Spanish, please.