this fuzzy logic can be understood by not considering too many variables, but still many variables are considered. The approach is extremely appreciated
Iss ka bell curve bana key samjhatey tu behter samajh aata. "good student" aur "bad student" ka bell curve jo overlap karta, aur aik given value ki degree of "goodness" aur "badness".
Sir your videos helped me alot for my exam preparation the way u explain the concepts i really liked it . Your soft computing related all videos helped me alot thank you soooo much sir...☺️☺️☺️
Lekin agar hum Fuzzy mein 0 aur 1 ko bhi count karre hain to matlab ya to wo ek set mein hai, nahi to nahi hai. tab to crisp wali cheez ni ho gayi. Crisp emin tha na yes or no wala scene.
Exactly I want to say something regarding this..... if the sum of membership of two sets is 1 , does it mean that the two sets must be exhaustive for the universal set? That means no other sets are there in the universal set?
this fuzzy logic can be understood by not considering too many variables, but still many variables are considered. The approach is extremely appreciated
Evergreen master of concept ❤❤❤
Jab Koi concept aur khi pta na chle to 5 minutes engineering is always there with easiest and simplest explanation 🙏🙏🙏
you r a very good teacher ........ keep growing
Sir.....Whenever u teach something we can understand easily...thank you very much...Please upload a videos nd let student understand it
The way of teaching is very unique. Thank you so much sir.
Sir you are the best........ I understand everything after seeing your lectures
Iss ka bell curve bana key samjhatey tu behter samajh aata. "good student" aur "bad student" ka bell curve jo overlap karta, aur aik given value ki degree of "goodness" aur "badness".
Your explanation is always the best 😄😄
Sir your videos helped me alot for my exam preparation the way u explain the concepts i really liked it .
Your soft computing related all videos helped me alot thank you soooo much sir...☺️☺️☺️
Your teaching Style is just amazing sir....Thank you so much sir 😊
nothing can be greatest then yu ❤❤❤❤thank you sir
You are doing very well bro ... keep it up ... love from pakistan
in which university you are studying bro in pakistan
Very good teaching 👍👍
Very easiest and detailed explanation.very helpful
Thank you sir very very much your teaching way was amazing I understand very clearly and my concepts are clear....
thanks sr my all doubts are clear
It was a very great explanation indeed. i needed to understand it for my research. Keep it up Sir! Keep Posting
beautifully explained.....thank you sir
Aise video banoa concepts clear ho jayenge thanks sir😊
Thank you sir bhot easy way me bta diya apne
Sir if you could just do only important algorithms of information and cyber security:
DES
AES
Block cipher
RSA
Authentication methods
excellent.......................................
Apka har video waqai kamal ka hota haah
Cos u hv got the easiest explainatn on youtube
Sir plz 5 minutes for fuzzy inference system...
Waiting
Thanku very nicely u explained thanku sir
Excellent bro ....👍👍👍👍👍
Sir agar good students ko G se denote kiya hai to bad students ko B se kyu nahi kiya??
Please can you teach bifurcation theory,..
VERY VERY EXCELLENT
Super explanations
Nice lecture sir ji..... Thnks
Sir please make video on rough membership 🙏
crisp set is fuzzy set withe extreme membership values that is 0 or 1
Amazing explanation!!!!!!!!!
0.53 kaleen bhaiya 🙏🤣
Sir needed type 2 fuzzy logic lecture
Lekin agar hum Fuzzy mein 0 aur 1 ko bhi count karre hain to matlab ya to wo ek set mein hai, nahi to nahi hai. tab to crisp wali cheez ni ho gayi. Crisp emin tha na yes or no wala scene.
Sir app fermatean fuzzy soft set ka video bhe apload Kary plz 1 den bad hmara exam hain plz
Kadak sir
Thank you so much
sir .. set mai negative value hogi toh kya krana chahiye ?
What will happen when the membership value=1, it would be included in the set or not?
It will be included in the set and it is very strongly bonded to that particular set
@@rashigupta1299 thanks
Great sir.... 🙏👌
so good .....
Sir, please suggest a book of fuzzy metric space in easy language
thanks man
One more example please!!
very good
Well sir
Thank you sir
Good
Vivek bindra sir k fan ho sir aap😄😄
😂
Nice !!!!
Sir membership value nikalty kasy hn ye bta dn
Ap Jo samja rhe ho wo exam me likh sakte hai kya...
Matlab ye example aur apka words...
Sir pls upload video in system programming for linker nd loader
For Fuzzy set theory which book is better
Sir how to choose a membership function?
Bhai machine learning ka kab se chalu karre ho..?
Nityaa sent me here
i want to know that is good+bad = 1 is really a concept or just use it as example.
i.e. did a element can become 0.9 in both set.
Exactly I want to say something regarding this..... if the sum of membership of two sets is 1 , does it mean that the two sets must be exhaustive for the universal set? That means no other sets are there in the universal set?
❤❤
Sir aapka coching center hai kya jarurat hai sir
s for super.
bad students are super students
0 ko to aap dono set me lene se mana kar rhe hai aur ek tarf bol rhe including zero and 1
Please tell me the link of previous videos
Kindly refer to Soft Computing Course.
@@5MinutesEngineering Oh, thanks
@@5MinutesEngineering we need neural network videos
@@5MinutesEngineering next week exam in neural network
@@5MinutesEngineering Function Approximation: Basis function network, Radial Basis function networks (RBF), MLP vs. RBF networks, Support vector machine (SVM), Hebbian learning and PCA, Linear Associative Memories (LAMs) 4. Competitive Network: Simple competitive network: Winner-take-all network, Adaptive Resonance Theory (ART), ART-1 architecture and algorithm, Kohonen Self-organizing Maps (SOMs), Counter Propagation Network (CPNs) Group-B (30 Marks) 5. Associative memory network: Linear Feedforward Associative memory network, Recurrent associative memory network, Bidirectional Associative memory network (BAM), Brain-State-in-a-Box (BSB) network, Hopfield networks, Boltzmann machine, Travelling salesman problem 6. Fuzzy system: Introduction to Fuzzy system, Fuzzy relations, fuzzy numbers, Linguistic description and their analytical form, fuzzy control. 7. Defuzzification: Defuzzification Methods, Centroid Method, Center of Sum Method, Mean of Maxi. Video need this topic
Can we use your examples in exam?
No
YES
If it is kuk university than you can 👍
is membership value always sum up to 1???
How to ask doubt
Kesa mera cmnt mile to Reply dena 🤣
Post video in English
Students are not decided good or bad according to marks so don't spread this false aspect to the world.
Areee Bhai...u r not even his foot mud
@@DESIRE__ I'm founder of Crazy Mediaworks studios so just think before you speak
@@DESIRE__ absolutely agree ❤❤
Duplicate Rohit Sharma
jo imp hai wo sikhao sir bor hota hai itna bada video dekh ke
Thank u sir 🙂
Good