Tim Arnett
This video quickly describes Fuzzy Logic and its uses for assignment 1 of Dr. Cohen’s Fuzzy Logic Class.
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49 thoughts on “An Introduction to Fuzzy Logic”
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Tim Arnett
This video quickly describes Fuzzy Logic and its uses for assignment 1 of Dr. Cohen’s Fuzzy Logic Class.
Source
Comments are closed.
Its great. But turn off that music.
Really helpful..
Can you send me the link of the template?
This is a GREAT and compact explanation, thank you!
Mhmm, i do not think that the example of the car is the most suitable to explain why we need fuzzy logic. In fact, in that example an analog circuit would simply do the job.
THANK YOU SOOOOOOOOO MUCH. That's the best intro
https://youtu.be/WyD_Y0ogYfo
Fuzzy logic
Analogue systems have continual variation of values.
Digital systems have discrete steps of values.
Fuzzy systems have discrete set of values.
Right ?
Good explanation
thak for example
sorry, but there is no explanation on how fuzzy logic works just the definition.
Nice video but very annoying background music.
Would really like to see you make more videos, this was informative and easy to understand.
thanks!
Shit fakes gecdir siz sülh istəsəniz də hər wey üçün gecdir! Miskin zavallı xəstəliklə məni ezeceynizi duwunduz pox bawinizla? Hələ bu gün lap o qədər cirkinlewib mundar olmuwduuz ki avtobusda yanımda oturan oğlan. Hər wey mene yawatdigi niz hər wey burnunzdan pilte pilte gələcək miskin zavallı yaratiklar!
Can someone explain me why we have a fuzzy logic definition. As it seems it is just bunch of if else statements and switch.
Can someone explain me why we have a fuzzy logic definition. As it seems it is just bunch of if else statements and switch.
(I'm not a native English speaker. Sorry for that…)
Sounds to me like a misconception of what logic is.
Nothing can be partially true or partially false. This video is misleading into believing the opposite, by asking true/false questions using numerically UNDEFINED terms.
The definition of whether the water is cold or hot is subjective to conception of each person. There's no numeric definition of a cold or hot water, so the question of whether it's true that the water is cold, is incorrect in the first place (logically).
You CAN however ask how cold or how warm is the water, and represent the answer using Celsius or Fahrenheit degrees, or a color spectrum (as this video shows), none of which contradicts with the classic conception of logic, and I don't see any need to define it with some kind of new "fuzzy logic" term.
And if you ask whether the water is colder than a certain temperature, the answer can only be TRUE or FALSE !
Same thing with the terms far or close.
No numeric definition of the terms – the question of whether the car is close or far is logically incorrect!
Representing the distance with numbers or any other analog/digital units – does not contradict with classic logic, and you don't need fuzzy logic for that. That would be a correct answer to the question of How far is the car.
And the answer to a correct question of whether the car is closer than the minimum required safety distance, can only be TRUE or FALSE.
Once again, as long as you use numerically defined terms, nothing can be partially true or partially false!
In my opinion – a totally useless term… (Fuzzy logic)
brilliant Tim.
while it's 1 and 0 low level, we don't program computers in terms of 0 and 1
Thank you for the info. The background music distracts and sometimes annoys a lot.
Great video… Can I have this slides ?
This is really no different than pressure transducers or encoders, they take a value at any range and assign a digital value so that it can be interpreted, and the resolution can essentially be as high as you like. It still follows the same rules of digital logic and Boolean algebra, I can guarantee you that a braking system in a car is more than just a 1 and a 0. Not quite that simple.
Amazing thank you for breaking it down so clearly.
Fussy logic actually applied for many years ago. Even before the term "fussy logic" was invented, people used this kind of digital process for closed loop feedback in wide range of application. Otherwise, just use 0 /1 for simple control is not realistic for application.
good explanation,thanks man
In interpersonal communication, this would be like not knowing the details of someone's life, but interacting with them based on how a person typically likes to be treated. In machine learning, this seems kin to reinforcement learning.
Thank you for the explanation. But I dont get the benefit of fuzzy logic. Following the example I could say a Propotional controller is doing the same. Finally Im matching fuzzy "segments" to a numbered axis like temprature. So where is the benefit?
Thanks for this
Poor Sound
Fuzzy logic…nothing makes sense anyways…
Could you try my creation, thanks! Search: 'Circuit Solver' by Phasor Systems on Google Play.
so the fuzzy logic is all about numbers between 0 and 1. And traditional logic is just about 0 and 1 (just like binary). How close, how far & close, far. So the fuzzy logic should have a number range that in our case is close and far. So it may be close=.00 to .50 and far=.51 to 1 or 0.99
thx for intro though..
Are you the same guy who does the casually explained videos??????
wrg, can no stress no matter what, ts not limited, not about peoplex, nnerx. no such thing as genex or not
Did you just use music from Postal 2?
I wondering: This makes no sense if one omits defining the terms. What is "cold", what is "warm", what is "close" what is "far"? And doesn't the mere concept of logic collapse when you deviate from it's own inherent property? Is the concept of logic even debatable from a philosophical perspective?
i am crying thank you!!
Just curious, temperature is RH control is also fuzzy logic though I' using pulse width modulation to have output control?
Thanks!!! small clear..
Very nice explanation … Thank you sir
Thanks a lot for your contribitions
Explained very well
very nice explation! thank you
great video bruh
Keep on bro! best intro
so excited, as this is part of the syllabus of my module in my yr3 course
very good explanation