04 Sistem Fuzzy.ppt

of 37
All materials on our website are shared by users. If you have any questions about copyright issues, please report us to resolve them. We are always happy to assist you.
Related Documents
  Chapter 4: Fuzzy Inference Systems   Introduction (4.1)  Mamdani Fuzzy models (4.2)  Sugeno Fuzzy Models (4.3)  Tsukamoto Fuzzy models (4.4)  Other Considerations (4.5)  –  Fuzzy modeling  2 Introduction (4.1)  Fuzzy inference is a computer paradigm based on fuzzy set theory, fuzzy if-then- rules and fuzzy reasoning  Applications:data classification , decision analysis, expert systems, times series predictions, robotics & pattern recognition  Different names; fuzzy rule-based system, fuzzy model, fuzzy associative memory, fuzzy logic controller & fuzzy system Fuzzy System: (Rule Base, Data Base, Reasoning Mechanism)  3 Introduction (4.1)   Structure  – Rule base   selects the set of fuzzy rules  – Database (or dictionary)   defines the membership functions used in the fuzzy rules  – A reasoning mechanism   performs the inference procedure (derive a conclusion from facts & rules!)  Defuzzification: extraction of a crisp value that best represents a fuzzy set  – Need: it is necessary to have a crisp output in some situations where an inference system is used as a controller   4 Block diagram for a fuzzy inference system is A 1 x  x  y is B 1 y is B 2 y is B r  is A r  x  x  x  is A 2   aggregator defuzzifier  y Rule 1Rule 2Rule r Fuzzy w  1 w   2 w  r 
We Need Your Support
Thank you for visiting our website and your interest in our free products and services. We are nonprofit website to share and download documents. To the running of this website, we need your help to support us.

Thanks to everyone for your continued support.

No, Thanks

We need your sign to support Project to invent "SMART AND CONTROLLABLE REFLECTIVE BALLOONS" to cover the Sun and Save Our Earth.

More details...

Sign Now!

We are very appreciated for your Prompt Action!