## Fuzzy Logic

author: Michael Berthold, Department of Computer and Information Science, University of Konstanz
published: Feb. 25, 2007,   recorded: June 2005,   views: 51223
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# Slides

0:00 Slides Tutorial: Fuzzy Logic Overview Fuzzy Logic: Motivation Characteristic Functions: Crisp Sets Characteristic Functions: Fuzzy Sets Linguistic Variables and Values Linguistic Values & Context Types of Membership Functions Fuzzy Membership Function: Basic Concepts Operators on Fuzzy Sets - Page 1 Operators on Fuzzy Sets - Page 2 Min / Max-Norm Product / Bounded-Sum T-norms and S-norms Fuzzy T- and S-Norms - Page 1 Fuzzy T- and S-Norms - Page 2 Fuzzy Norms: Issues… Imprecise Reasoning Joint Constraint (support distribution) Conditional Constraint (possibility distribution) Joint vs. Conditional Constraint - Overview - Part 2 Fuzzy Rules Example: Mamdani Rule Fuzzy Rules Example: Takagi-Sugeno Rule Fuzzy Rule System (Mamdani) Fuzzy Rule Systems: Example 1 - Page 1 Fuzzy Rule Systems: Example 1 - Page 2 Fuzzy Rule Systems: Example 1 - Page 3 Fuzzy Rule Systems: Example 1 - Page 4 Defuzzification: Center of Gravity Defuzzification: Other Methods Fuzzy Inference (Mamdani) Fuzzy Rule System (Mamdani) Fuzzy Rule System (Takagi Sugeno) - Tutorial: Fuzzy Logic - Conclusion Part 1

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Part 1 54:40
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Part 2 48:13

# Description

The tutorial will introduce the basics of fuzzy logic for data analysis. Fuzzy Logic can be used to model and deal with imprecise information, such as inexact measurements or available expert knowledge in the form of verbal descriptions. We will first introduce the concepts of fuzzy sets, degrees of membership and fuzzy set operators. After discussions on fuzzy numbers and arithmetic operations using them, the focus will shift to fuzzy rules and how such systems of rules can be derived from available data.

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1 Z., July 19, 2007 at 8:51 p.m.:

is there part 2 available???
(btw: this is a lecture I was looking for for ages :) )

2 Teresa, July 20, 2007 at 1:39 a.m.:

The lesson I was waiting for too :)

3 Miguel, August 23, 2007 at 5:23 p.m.:

It'd would be nice having a Flashbased version, I'm having problems playing the wmv on Ubuntu Linux.

4 Aswani Kumar, August 31, 2007 at 12:51 p.m.:

The lecture in nice. I would like to download this lecture. Please give me this option as our Internet connection is very weak and we cannt have continous lecture over net.

5 noora, October 1, 2007 at 3:52 p.m.:

Thanks :)

6 H K, October 14, 2007 at 7:24 p.m.:

due to slow net speed i m unable to see it plz provide links to download these lectures
thanks

7 mohamed.fezari@uwe.ac.uk, October 20, 2007 at 1:35 p.m.:

theses lectures are veri interesting for african and midle-east researchers who can niot attend conferences in USA or EUrope
Many Thanks

8 Sarayut Nonsiri, October 20, 2007 at 6:58 p.m.:

Thank you very much.

9 asma, October 23, 2007 at 9:52 p.m.:

10 Vinh, November 13, 2007 at 4:44 a.m.:

Its hard for mac/linux users which don't have windows media player available. Do I have to buy windows now to watch?

It's ironical in a way. Exchange Ideas and Share Knowledge...but only if you run windows.

11 Shanky, November 22, 2007 at 10:16 p.m.:

links are not working on linux (using mplayer plugin for mozilla) ,, :-( ,plz tell me if a downlodable version is availbale ..

12 sintayehu zewdu, December 26, 2007 at 10:21 a.m.:

13 Fathi Gasir, January 1, 2008 at 6:30 p.m.:

Thank you very much.

14 avra, January 9, 2008 at 3:55 a.m.:

15 DAVIS THOMAS.K, January 11, 2008 at 5:37 p.m.:

Thaks a lot.. it really helped me for my project

16 Alireza, January 17, 2008 at 7:12 p.m.:

thanks

17 Oleg Sakharov, February 7, 2008 at 8:57 p.m.:

Very very nice lectures! Really looks like you are in a university sitting and hearing all this stuff. Easy understandable and good presented. This site is amazing! I'd recommend it for all!

18 sari, April 2, 2008 at 6:41 a.m.:

I learnt alot about fuzzy logic from this lecture. Is it possible to down load the lecture and how?

19 Saad, May 23, 2008 at 11:30 a.m.:

Very nice..Beautiful way to teach basics..but Cameraman sometimes focus teacher while teacher is explaining something on board..so please keep camera on board at such times..thanks a lot anyway

20 theabsurd, June 1, 2008 at 8:37 a.m.:

21 hameed, June 20, 2008 at 9:55 p.m.:

ok
i need help
i need how i can buid tempreature project by fuzzy logic controller in matlab
if any one help me this is me email
lastone522003@yahoo.com

22 srs, July 21, 2008 at 11:40 a.m.:

Thank You Very Much

23 saeideh, August 22, 2008 at 9:22 p.m.:

I really thank you for this usefull lecture which help me to do my project with fuzzy set.
also the slides, quality and facilities in the site is perfect.
thanks.

24 john, September 18, 2008 at 5:27 a.m.:

Vdery useful and well presented. Thank you.

25 karthik, September 20, 2008 at 5:25 p.m.:

need complete video of part 1

26 Shirke, September 24, 2008 at 10:12 a.m.:

27 saif, September 24, 2008 at 12:02 p.m.:

amazing !!!

Plez send me the tips (if you know)

28 Mulugeta, October 14, 2008 at 2:25 a.m.:

what a brilliant idea! It helps so much indeed.
But lecture slides( from the video) has to be seen to the audience as well.
Thank you

29 Aditya, November 22, 2008 at 5:32 a.m.:

30 trgopan, December 28, 2008 at 3:46 a.m.:

aha,
thank you sir

31 piero, January 5, 2009 at 8:12 p.m.:

I'm having some problems for watching the video!

32 Toy, January 16, 2009 at 9:48 a.m.:

very good

33 Youness, February 25, 2009 at 1:14 a.m.:

Thank you very much

34 Pablo, April 8, 2009 at 10:04 p.m.:

People complaining about free lectures, about OpenCourseWare Courses... The cam is not moving the way I would like it... the guy talks so fast, so slow, it's so easy, so hard to follow... please!!! Just Wake up!!!
10 years ago this kind of things were just impossible, and now you have it just by a 10 secconds' search at google...
If you want a better quality course just go and pay for it...
I think this is great, and this lecture in particular is so clear... I'm going to find the way to download it... Thank you everyone who made it possible!!!

35 Modi Salah, June 7, 2009 at 1:45 a.m.:

i'm glad that i came a cross this lecture .... i've been suffering for a while now :)

loads of thanx for everyone made it possibile for us as to watch and learn from this lecture and keep up the good work

36 John Kelly, July 1, 2009 at 10:54 p.m.:

37 vimala, July 14, 2009 at 3:20 p.m.:

during the lectures at some instances the cameraman instead of focussing on the board he tried to focus on the teacher.so we were unable to see where the teacher was focussing on the board

38 A.Jafarian, July 15, 2009 at 5:22 a.m.:

I really enjoyed every section of this video lecture.
Thank you Mr Michael Berthold.

39 anuran, July 15, 2009 at 1:58 p.m.:

jm player sucks!!!

40 Michael Berthold, July 15, 2009 at 3:54 p.m.:

vimala sahi bolti hai , the camera man screwed up .

41 zama, August 11, 2009 at 9:37 a.m.:

no comment.

42 AKHTAR, September 3, 2009 at 9:23 a.m.:

It is very useful link.Is it possibe to get an email of expert about fuzzy loic?

43 vachhani, September 17, 2009 at 5:45 p.m.:

it is very nice lecture and i would like to download this lecture for study please give permission thanks

44 Rupen, September 25, 2009 at 3:12 a.m.:

Well, the lecture looks good, however, I have not understood the concepts of these neural networks and fuzzy logic on data analysis area. If we use the same data to model itself, then the question is what we are actually modeling - these simply turn out to be nothing but simply some form of advanced curve fitting tools. The most important feature would be if these tools can give us satisfactory modeling of some variables such as heat transfer coeffecient that cannot be measured easily from some other easily measurable variables, then only it makes sense. If it is the case of estimation and cross validation where the estimation depends on measured quantities, then modeling can be easily achieved such as using some dimensionless physical numbers and why we need the fuzzy logic or neural network in such cases, it is not clear yet.

45 Srinivas.Yellamelli, October 7, 2009 at 7:32 a.m.:

these lectures are very impressive and informative for different concepts.Please provide more lectures in nn&fl please.
thank you
bye

46 fatma , October 29, 2009 at 1:03 p.m.:

nice lictures ,can I attached them to my power point presentation

47 Layla Abdullahi , January 13, 2010 at 2:07 p.m.:

please let me to dowload it. or send me Above email if you can.
thank you.

48 wajeed, January 15, 2010 at 11:34 a.m.:

I am not able to view the lectures. I have a message server not available. Please tell me when can they be available

49 Tejas Bhatt, January 20, 2010 at 5:58 p.m.:

This lecture is very useful for understanding the basics of fuzzy logic.

50 Kaoutar, February 24, 2010 at 1:23 p.m.:

First of all, nice lectures thanks for establishing this website and videolectures.
I am at the moment working on my MA thesis and I use the fuzzy-set/Qualitative Comparative Analysis (of Prof. Charles C. Ragin). In Ragin's book ‘Fuzzy-Set Social Science’ (2000) he discusses a number of types of fuzzy sets. I would like to know if somebody who also used this method would know whether it is possible to use different types of fuzzy-set to translate the conditions to fuzzy membership scores. For example to value condition A use a three value fuzzy-set and for condition B a seven value fuzzy-set.

Hope someone could give me an answer.

Kind regards

51 Kaoutar, February 24, 2010 at 1:55 p.m.:

I have got my answer on my question :). I got a reply from a PhD student and he told me it's possible to use different coding for fuzzy-sets. As long as you "calibrate" your variables (i.e. transform your variables into fuzzy sets) in the good way, everything is possible. And fuzzy values can only correspond to ordered categories!

52 José Tomás Guzmán, March 15, 2010 at 5:32 p.m.:

Thank you so much.

53 Bishnu Rawal, March 29, 2010 at 10:40 a.m.:

ya, same problem guys, no option for offline view...

54 Saleem Awan, April 7, 2010 at 2:05 p.m.:

This is really amazing lecture. Thanks for bringing nice things online

55 mehti, April 26, 2010 at 9:47 a.m.:

It was really nice lecture.
Thank you very much, you mention all main points of fuzzy logic, i was waiting for.=))

56 Kuidnov Oleh, May 26, 2010 at 11:53 p.m.:

Hi there!I found very helpful tutorial about fuzzy logic.It is the easiest way to learn and understand this logic.
Just enjoy it_:

http://www.caspur.it/risorse/softappl...

57 Usman, June 9, 2010 at 8:14 p.m.:

Sir, What a wonderfull lecture? Its very educative.However, i couldnt view it all cos of internet failure. It would be good to get it in downloadable form.

Once again, we are gratefull. Cheers

58 mahtab, July 13, 2010 at 9:40 a.m.:

very good

59 Dr Kharche A.W., August 9, 2010 at 8:35 a.m.:

I learnt alot about fuzzy logic from this lecture. Is it possible to down load the lecture and how?
Anil

60 santa's helper, December 15, 2010 at 3:09 a.m.:

Try a free program called Streamtransport to download from jwplayer type flash videos over rtmp transport layer.

61 Fuzzy Seeker, March 5, 2011 at 4:52 a.m.:

It would have been nice if the person who is doing the video focus on the slides that the lecturer is showing.

Coz we don't have any idea what he is pointing at, As the cameraman is showing only the lecturer most of the time.

62 Aty, May 9, 2011 at 2:40 a.m.:

Thank u for the video But I think, it would be more useful if u show the slides.

63 arman, December 2, 2011 at 11:25 a.m.:

thanks.but why you didn't write about dr.lotfizade (fuzzy logic's father at world)at above texts

64 Kolly Adex, May 6, 2012 at 9:23 a.m.:

65 foziacheema, September 11, 2012 at 3:24 a.m.:

these lectures are useful but i could not watch them properly due to weak signal of my net connection. can i have download them on my system

66 zahoor maharvi, December 17, 2012 at 8:25 a.m.:

well,these lectures are very impressive and usefulfor fuzzy logic it will be more effective for me if can download them thanks

67 Karl, January 25, 2013 at 11:01 p.m.:

Thank you so much for this lecture! It's great!!!
In part 2 you said there are exponentially many rules in high dimensional space. The rules increase exponentially with granularity and geometrically with dimensions.
I really appreciate how understandable your lecture is! Thanks!

68 renu sharma, February 17, 2013 at 7:41 p.m.:

can I get some information about fuzzy logic in food technology?