Fuzzy Logic - Computerphile

Real life isn't as simple as true or false - Fuzzy logic allows you to have degrees of truth, meaning computer programmes can deal with more diverse situations.

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This video was filmed and edited by Sean Riley.

[jfb-]

"Temperature doesn't just go from hot to cold"

Obviously you've never used a shower.

[Kreechursl]

The temperature of this water is true.

[CraftAero]

I've tried many times to explain fuzzy logic to my (laymen) friends, ironically with varying degrees of success. I think from now on I'll refer them to this video. Well done, thanks.

[rich]

I think this may have been better described with an example a bit more tangible, like colors. A good example of fuzzy logic is determining if a color is similar to another. First you break down into the three RGB values, then you have to make sure no individual color is too different by comparing the difference, then you have to take the total differences in all three colors and make sure IT is not too large. :)

[zeddash]

I'm about 0.3 watching this video, doing work at the same time

[bitmaxim]

Good to hear you mention uncertainties there at the end -- such an important consideration.  On a different point, I've always believed it somewhat insightful to think about its (fuzzy logic's) semantic contrast (and even its relation) to a probability concept, such as Bayesian inference (essentially, degrees of truth on the one hand, and prediction on the other).

[TheMaplestrip]

"Fuzzify" should be word of the year.

[illustriouschin]

Thanks for a new video that leaves me more confused on the subject than I was before!

[willhendrix]

It sounds like the fizzy set is a percentage of the input in a given range of values. This would allow the rules to be relative and changing the range of the set fundamentally changes the operation of  the entire program and its outputs. Genious! Bravo.

[RGVZGM]

They neglected to mention that fuzzy logic is far more efficient, robust and reliable than non-fuzzy logic control systems.

[MartinFracker]

I love all the different paradigms and sub-paradigms in software design!

[GildedWildebeest]

Always a pleasure to have an explanation from Joe, and an interesting topic to boot.

[ignatei]

is Zadeh the same guy who also came up with Z-transform and Z numbers?

[joelscott]

As one of the mathy sorts of people, I found this very stimulating - the speaker in this video did a very good job. Cheers!

[nikeonik]

I love your interpretation of fuzzy logic.
Its very clear.
Please can you do a video showing how this would work if we were to use fuzzy logic to determine peoples risk bearing level

[saumya]

The explanation is very clear. No trifling things!

[orkhanahmadov]

The founder of this logic is from my country Azerbaijan. We are so proud of him

[Eschen_]

I would have liked to see what that actually looks like as code.

[joshuajurgensmeier]

If you were coding this, wouldn't you have to explicitly define every member of a set? For instance if you had a set of pets, but you forgot a parakeet. Your member function would then return that a parakeet is not a pet (or 0.0 petness). How do you get around this? Do you have to use some form of machine learning like he said at 3:30?

[DrussNL]

Thanks for explaining! I always wondered what this fuzzy logic, that my high-end Japanese rice cooker has, was exactly.