Fuzzy Membership Function || Triangular MF || Fuzzy Logic || Soft Computing || CodeCrucks || L-5

Topics covered in this video:
- Basics of Fuzzy inference System
- Singleton Membership Function
- Triangular Membership Function
- Trapezoidal Membership Function
- Gaussian Membership Function
- Generalized Bell Shape Membership Function
- Sigmoid Membership Function
Find the full playlist here: • Fuzzy Logic

[@smitamahajani2908]

Great presentation and explanation too 👍 #softcomputing #mustwatchplaylist #membershipfunction #fuzzylogic

[@CodeCrucks]

Thanks for showing interest

[@rajatvisvas9576]

Really amazing stuff. All vids are so impressive

[@CodeCrucks]

Appreciated

[@samuelajeleye6237]

Thanks for this nice video on fuzzy theory. My question is how can we express Linguistic terms (such as low, very low, high and so on) in 3 triangular fuzzy number (L M U)?

[@CodeCrucks]

Thanks. To define linguistic variables you should have sound domain knowledge, or you can take help of expert of the domain to decide the values of L M U. You might like www.codecrucks.com

[@josephcorleto1853]

Really great job. Your video series has been great for learning this topic so far.

[@CodeCrucks]

Thank you very much Joseph. Happy to see this video helped you. You can also refer articles at www.codecrucks.com

[@KamalManek]

Representation of triangle and trapezoidal using single formula (combination of max and min) is great trick...thank you so much for that part

[@CodeCrucks]

Welcome Kamal

[@hgo31079]

Thanks for this great work sir, I can say this is the best and direct fuzzy related tutorial i have come across.

[@CodeCrucks]

Thank you so much. You can find articles on fuzzy logic at www.codecrucks.com. Hope will help you !

[@akbaralee8771]

Hy sir you can define Application of trapezoid membership function..plz reply soon

[@CodeCrucks]

All membership functions are used to covert crisp value into fuzzy value. They maps crisp numbers to fuzzy by assigning appropriate membership value to input for given fuzzy set.

[@saktepakmu4551]

Im sorry sir but in gaussian why did the sigma turn into 3? Where did that come from?

[@CodeCrucks]

It is just an example. To explain the computation, i assumed sigma as 3. It shows if given such various parameters of GMF, then how to find membership value for given crisp value

[@detoxfarm]

Excellent explanation.

[@CodeCrucks]

Thank you very much. You may find articles on Fuzzy logic at www.codecrucks.com

[@psychointruder5203]

You are a savior!! Thanks so much❤

[@CodeCrucks]

Thanks a lot. complete playlist on fuzzy logic is available on channel: shorturl.at/inryW

[@subratamodak7376]

very nice sir।

[@CodeCrucks]

Thanks a lot. You can find full course on fuzzy logic here: shorturl.at/inryW