in half hour with you I learn more than more than 20 hours reading notebooks of my professor at uni and listen to him in the lesson, thanks for your time
RUclips suddenly recommended me your video reminding me of those good old days learning from you sir. Recently I got the news that you visited NIT Agartala as an external examiner. Wish I was there so that I could thank you in person for your valuable contribution in my life. Your lectures helped me a lot. Wishing you good health and prosperity in life. Thank You again.😊
U are my hero. Fuzzy theory never been easier to understand. I just got confused with the term 'young' which could be better if replaced with 'youth' in the fifth example.
sir you are terrific teacher and these videos are invaluable resources for understanding fuzzy theory, But please take some time to organise all the videos related to one course in single playlist. Thanks a lot !!
Suppose I have a rule: If Service is good and Food is delicious then Tip is generous. My antecedent has 2 inputs (service and food) which are in 2 different universal of discourse, then how can those 2 fuzzy sets are connected within one rule? Is the connection the same as those fuzzy sets which are in the same in universal of discourse?
Many thanks, I been tryin to find out about "creating a membership website for free" for a while now, and I think this has helped. You ever tried - Donichrel Membership Meticulous - (should be on google have a look ) ? Ive heard some interesting things about it and my friend got cool results with it.
why did take UA(1) =o.5 as membership function value ? why didn't you take another value like 0.6, 0.9 etc. is it based on assumption for taking value as membership function value?
Respected sir, i'm confused at example 5, because you told that adult can watch the movie upto 85 but here we are differentiating age group categories not according their watching adult movies. How a person can be remain adult after 45 or 55 ? Kindly clear my doubts.
respected sir, our general definition of adult is when age>=18. So, anyone whose age is 18 or greater than 18 are termed as adult person. A person who is either 18 or 85 that person is adult. Moreover that, sir already told that in the introduction class that there will be overlap between the boundary of the fuzzy set. So, a person can be remain adult when his or her age is greater than 18.
Awesome lecture but I got confused at 34:42 minutes. I thought since alpha is declared to be 0.2, then it should stop at 55 since 0.1 is less than 0.2. Somebody put me in the light please.
U may cite the utube link. U may certainly use my examples with proper citations of utube and books. But u want to use where in ur thesis or lecture or presentation. Thanks so much for ur interest and comments
@@easylearnwithprofschakrave2997 Thank you for your fast answer, professor! I will have presentation on fuzzy logic, so I would like to tell about your examples. And also, can You tell me in which package I could easily draw myself membership functions?
@@easylearnwithprofschakrave2997 Also I would like to write my master degree thesis about Fuzzy logic, I liked it a lot! If You have any interesting theme about this, I would appreciate your comment! Thank you!
your awesome teacher . i like your video .i need your help .i am stuck can you please help me in this question : Distinguish each of the following axioms as either Peano arithmetic or Presburger arithmetic with proper reason. 1. a×b (a + b) = (a×b) 2. a+ 1 = b + 1 → a = b please if its possible answer me within in one hour . kindly i am waiting for reply
in half hour with you I learn more than more than 20 hours reading notebooks of my professor at uni and listen to him in the lesson, thanks for your time
Thank u so much! Happy to know that these hve been helpful in ur understanding. All the best!
RUclips suddenly recommended me your video reminding me of those good old days learning from you sir.
Recently I got the news that you visited NIT Agartala as an external examiner.
Wish I was there so that I could thank you in person for your valuable contribution in my life. Your lectures helped me a lot.
Wishing you good health and prosperity in life.
Thank You again.😊
Thanks so much! Do greatly appreciate your nice comments. I visited NIT Agartala sometime ago but not very recently. God bless you!
@@easylearnwithprofschakrave2997 Thank You so much for replying sir.😊
Teaching like we have nothing left to self study or anything for the review. Hats off
Thank u so much! Do greatly appreciate ur comments!
Super up explanation sir, I have seen many videos but I could not understand what is member function, in this really good.
Thank u sir...
Thank u so much! Happy that u could understand it and that is the success of my lectures, I hope
Crystal clear, superb explanation, thanks so much for sharing. Subbed, I wish I had you as a teacher, keep em coming please!
Thank u v much for your appreciations...
Professor your classes are helping giving a great contribution.
Thank u v much
U are my hero. Fuzzy theory never been easier to understand. I just got confused with the term 'young' which could be better if replaced with 'youth' in the fifth example.
Thank u v much. I do appreciate ur suggestion!
many thanks for this consequences of valuable lectures . special thanks for who publishes these videos. xxx
superb stunning flawless and mindblowing explanation. Thanks a lot for such a remarkable contribution.
Thank u so much for this course sir...thanks a lot
Thank u v much
Adbhoot!👏
Exceptionally good video editing! Thank you very much!- the explanations are also very powerful :) I'm glad i found your channel :D Subscribed!
Bro how can we change torra(2010) intersection union complement property in to q rung picture linguistics information
excellent video sir......hope to see more videos from you🙂
Many thanks for your videos
Thank u very much
Sir your explanation is very good
Thank u so much
sir you are terrific teacher and these videos are invaluable resources for understanding fuzzy theory, But please take some time to organise all the videos related to one course in single playlist. Thanks a lot !!
Thanks a lot for the suggestion. I will certainly do....but let me find some time for this pl. All d best...
Than you very much. Very good course. I recommend this course.
Thank u. Do appreciate...
Thank you so much, God bless you , This is awesome explanation.
Very beautiful and well explained Sir. Thanks a lot!
thank u
u made it very easy to understand about membership function thank u very much sir
u are very good in explaining l hope to study in the class that you takes the fuzzy set. .☺
thank u and welcome!
Awesome lecture.
Thank u
Very nice and helpful lecture indeed!
Thank u v much
A small correction regarding alpha cut set. for young 0.2, 65 cannot be included as the membership degree of 65 is 0.1 which is les than 0.2
Good explanation
Thank u v much
Fuzzy set is very interesting topic in mathematics
Great lecture Sir...
Thank u v much
very nice explanation sir .Thankyou
wlcm sir.
Nice sir
Thank you
Thank you sir
My pleasure
it seems like simple to understand about fuzzy set and membership.. Could I have a seat on your class? special greeting from Indonesia
thank u! sure u r welcome!
you can apply to this : www.nitrkl.ac.in/docs/Announcement/08052019111357493.pdf
Sir am a big fan of you and your teaching methods. Please sir suggest me some topics on fuzzy set for research. Thank you.
Type 2 fuzzy sets
Thank u! May be on type2 fuzzy sets
Thank you sir
Thanks so much for posting :)
Thank u so much for this beautiful explanation
thank u so much
Suppose I have a rule: If Service is good and Food is delicious then Tip is generous. My antecedent has 2 inputs (service and food) which are in 2 different universal of discourse, then how can those 2 fuzzy sets are connected within one rule? Is the connection the same as those fuzzy sets which are in the same in universal of discourse?
Great!
Awesome explanation.Do you also have lectures on numerical methods and Probability.?
Many thanks, I been tryin to find out about "creating a membership website for free" for a while now, and I think this has helped. You ever tried - Donichrel Membership Meticulous - (should be on google have a look ) ? Ive heard some interesting things about it and my friend got cool results with it.
not, no such thing as awex or not about it
Sir you are best ... Adult movie wala example la jabab he he
thanks
good presentation
thank u
The explanation from 36:34: Is it true for convex fuzzy set only?
why did take UA(1) =o.5 as membership function value ? why didn't you take another value like 0.6, 0.9 etc. is it based on assumption for taking value as membership function value?
If you r referring the first example then I told it is your choice. u may take 0.6 or 0.7 or...but less than 1. As for 2, only it should be exactly 1
@@easylearnwithprofschakrave2997 thank you sir . I have one more question it also related to fuzzy set and fuzzy decision tree.
🔥
Kash humare clg me ase pdate
Respected sir, i'm confused at example 5, because you told that adult can watch the movie upto 85 but here we are differentiating age group categories not according their watching adult movies. How a person can be remain adult after 45 or 55 ?
Kindly clear my doubts.
respected sir, our general definition of adult is when age>=18. So, anyone whose age is 18 or greater than 18 are termed as adult person. A person who is either 18 or 85 that person is adult. Moreover that, sir already told that in the introduction class that there will be overlap between the boundary of the fuzzy set. So, a person can be remain adult when his or her age is greater than 18.
Dear Prof. can you give this type of examples in case of multi fuzzy sets
Awesome lecture but I got confused at 34:42 minutes. I thought since alpha is declared to be 0.2, then it should stop at 55 since 0.1 is less than 0.2. Somebody put me in the light please.
you are right. Must have being a mistake from him
Sir, in alpha- cut the range should be excluding zero
is it not?? in a book i read that and i am confused. plz can u clarify??
Sir in your channel,these are complete lectures of fuzzy set?,plz tell me sir
Whatever was in our institution course/syllabus
Thank u sir
Sir, I have a doubt. The sum of membership of suppose Age 5 in infant, adult, young and senior should be 1 right?
your lectures are normalized fuzzy set as compared to other
The extension to non-normalized fuzzy set is not complicated. Range for alpha at, ruclips.net/video/B38yfziksIY/видео.html would be [0,Height]
Hello, sir! How can I cite your work for my seminar? Can I use some of your examples?
Thank You so much for your great work!
U may cite the utube link. U may certainly use my examples with proper citations of utube and books. But u want to use where in ur thesis or lecture or presentation. Thanks so much for ur interest and comments
@@easylearnwithprofschakrave2997 Thank you for your fast answer, professor! I will have presentation on fuzzy logic, so I would like to tell about your examples. And also, can You tell me in which package I could easily draw myself membership functions?
@@easylearnwithprofschakrave2997 Also I would like to write my master degree thesis about Fuzzy logic, I liked it a lot! If You have any interesting theme about this, I would appreciate your comment! Thank you!
Then no problem. U May draw in msword (if approximately) or Matlab ( if through programs)
Sir, in alpha cut of young 0.2 why 65 is included as it has degree of 0.1 which is less than given alpha 0.2 please explain
Thank you sir
can some one recommend a book for beginners
Sir , could u please tell me how to find MF or any formula is there
I need ur helps please
Please send fuzzy lecture from 4 onwards
Not understood your comment pl
your awesome teacher . i like your video .i need your help .i am stuck can you please help me in this question : Distinguish each of the following axioms as either Peano arithmetic or
Presburger arithmetic with proper reason.
1. a×b (a + b) = (a×b)
2. a+ 1 = b + 1 → a = b please if its possible answer me within in one hour . kindly i am waiting for reply
which book you are following?
Some portions from Zimmerman...
@@easylearnwithprofschakrave2997 thankyou
wrg, can tell anyx bya nyx no matter what
Sir plz tell me a good book of fuzzy set
By Zimmerman
what does "two or so" mean? really confuse
"'Two or so'' means 2 or any other number. Note: 2 is explicitly defined so it is having a membership function of 1.
In this context, "Two or so" implies, -- "approximately two".
Hi, all do anyone have his contact be it email address etc?
snechak@gmail.com
Hello sir your lectures are very helpful thank you so much sir a small request sir can please give your email I'd it's my humble request to you sir
Thank u so much. My mail : snechak@gmail.com
math is always terrible .........
Terrible?? I think no......Not got it actually....
Exceptionally good video editing! Thank you very much!- the explanations are also very powerful :) I'm glad i found your channel :D Subscribed
Thank u so much