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Mamdani Systems | Graphical inference Techniques - Part 1 | Fuzzy Logic
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- čas přidán 17. 08. 2024
- Topics Covered:
00:40 Mamdani Systems
02:10 Max-Min Inference Method
08:15 Max Product Inference Method
Links:
Lecture 9 - Defuzzification Method - Part I : • Video
Lecture 10 - Defuzzification Method - Part II : • Video
Lecture 11 - Defuzification Method - Part III : • Video
This one is truly comprehensive.
Thanks for sharing your knowledge in such a lucid manner.
Glad to hear that :)
Best video I've found on this tyvm
Glad you liked it!
why cannot I find this lecture in the fuzzy logic playlist in the play list section it only shows 12 lectures and where to find the further lectures
on the channel
This was so didatic! Thank you very much
I think the right word is 'didactic' but I gotta commend you guys for your advanced vocabulary lol
Thank you very much! I will have fuzzy logic test tomorrow. Wish me luck
Best wishes in taking your exams!
@@Topperly Thank you! Hello from Russia, Tomsk Polytechnic university
thank you, it helped me a lot, thank you s much 🙏🏻🙏🏻🙏🏻🙏🏻
So how do you apply when you have the inputs and want the output generated...ie how do you apply to get answers from various inputs and settings?
Please Explain types of scaling, sampling space and ranking techniques in Genetic algorithm.
plain and well explained! Thank you
Glad it was helpful!
@@Topperly Hello ma'am, the Defuzzification videos are not available. Can you please make them public?
Hi Shruti,
Please check out our Fuzzy Logic Playlist. Defuzzification methods are available there :)
Mam, how to draw those triangles while finiding membership values?
gr8 lecture maam
Thank you!
Glad to hear that :)
really your so asweom mam thank you very much
Thank you ma'am
I have a question, sometimes I see fuzzy inference engine like min/max, and sometimes max/min, there are two types?
Thank you for your nice video. Could you explain for me when should I use Max-min Inference method and when should I use Max Product method? In the Max Product Inference method, the equation of implementation is Product (AxB), but I dont understand how that product equation can scale the output fuzzy set to the result as you present. Could you explain it for me?
Great Question. Well we have to look into that and get more information to give you an accurate answer. Once we do, we'll let you know! :)
Chào đồng hương :)
mam plz upload all video on playlist of fuzzy logic
Maam Suppose, I am making a fuzzy rules using three input variables a, b ,c, and 1 output variable d. Each variable has three linguistic terms Low medium and high.
Is it possible to write
A B C D
High Low Low Medium
High Low Low High
If so , can you give me a paper reference ?
Thank you
Please refer to the following reference books:
1. Fuzzy Logic and Engineering Applications by Timothy Ross -amzn.to/3lcCZsn
2. Fuzzy Set Theory ― and Its Applications by H.J. Zimmermann - amzn.to/32gA6y3
You can also refer the original research papers from Lotfi Zadeh. :)
Great explanation
Glad it was helpful!
Wowwwww
In this method we can take only 2 input and 1 output we cant take more than that right mam?
When will you launch Takagi Sugeno approach ma'am/sir??
Will surely upload it next week! :)
sir could u pls upload the 13 th,14th,15th and 16 th videos as well
Hey Riddhi,
If you go to 'Topperly' homepage and search under 'uploads', you can find the videos you requested uploaded in 2020-21 time frame.
I have not added it to playlist bcz those are old videos :)
Ok thanks so much 🙏🏼
Hi respected mam...
I need to take online class on optimization techniques GA..
I need ur mail I'd. Thx
I
Please don't teach , i am getting Nothing,
No one's forcing you to watch it :)