Fuzzy Logic
author:
Michael Berthold
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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| Slides | |
| 0:00 | Tutorial: Fuzzy Logic |
| 1:45 | Overview |
| 2:45 | Fuzzy Logic: Motivation |
| 4:52 | Characteristic Functions: Crisp Sets |
| 5:58 | Characteristic Functions: Fuzzy Sets |
| 7:46 | Linguistic Variables and Values |
| 10:00 | Linguistic Values & Context |
| 11:26 | Types of Membership Functions |
| 13:43 | Fuzzy Membership Function: Basic Concepts |
| 15:18 | Operators on Fuzzy Sets - Page 1 |
| 17:51 | Operators on Fuzzy Sets - Page 2 |
| 18:33 | Min / Max-Norm |
| 20:39 | Product / Bounded-Sum |
| 21:54 | T-norms and S-norms |
| 22:26 | Fuzzy T- and S-Norms - Page 1 |
| 23:23 | Fuzzy T- and S-Norms - Page 2 |
| 24:53 | Fuzzy Norms: Issues… |
| 28:03 | Imprecise Reasoning |
| 29:06 | Joint Constraint (support distribution) |
| 30:07 | Conditional Constraint (possibility distribution) |
| 30:48 | Joint vs. Conditional Constraint |
| 31:49 | - Overview - Part 2 |
| 32:45 | Fuzzy Rules |
| 33:10 | Example: Mamdani Rule |
| 35:52 | Fuzzy Rules |
| 36:16 | Example: Takagi-Sugeno Rule |
| 37:54 | Fuzzy Rule System (Mamdani) |
| 38:26 | Fuzzy Rule Systems: Example 1 - Page 1 |
| 39:59 | Fuzzy Rule Systems: Example 1 - Page 2 |
| 41:01 | Fuzzy Rule Systems: Example 1 - Page 3 |
| 42:36 | Fuzzy Rule Systems: Example 1 - Page 4 |
| 42:41 | Defuzzification: Center of Gravity |
| 43:22 | Defuzzification: Other Methods |
| 45:36 | Fuzzy Inference (Mamdani) |
| 48:38 | Fuzzy Rule System (Mamdani) |
| 50:53 | Fuzzy Rule System (Takagi Sugeno) |
| 54:28 | - Tutorial: Fuzzy Logic - Conclusion Part 1 |
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Part 1
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Part 2
0:48:17
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is there part 2 available???
(btw: this is a lecture I was looking for for ages :) )
The lesson I was waiting for too :)
Glad to have found it! May I ask some questions?
It'd would be nice having a Flashbased version, I'm having problems playing the wmv on Ubuntu Linux.
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.
Thanks :)
due to slow net speed i m unable to see it plz provide links to download these lectures
thanks
theses lectures are veri interesting for african and midle-east researchers who can niot attend conferences in USA or EUrope
Many Thanks
Thank you very much.
plz provide links to download the lectures
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.
links are not working on linux (using mplayer plugin for mozilla) ,, :-( ,plz tell me if a downlodable version is availbale ..
it is so cool and interesting so please go ahead
Thank you very much.
Google around for some streaming video downloader. Then convert WM video to whatever video extension you can see in your host OS.
Thaks a lot.. it really helped me for my project
These Good lectures Very better if downloadable
thanks
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!
I learnt alot about fuzzy logic from this lecture. Is it possible to down load the lecture and how?