Lecture 3 fuzzy inference system

Machine Learning

1. Computational Intelligence
Parveen Malik
Assistant Professor
School of Electronics Engineering
KIIT University

2. Outline
•Fuzzy Inference system –Introduction
•Fuzzy Inference system –Applications
•Fuzzy Inference system –Block Diagram
•Fuzzy Inference system -Types
•Defuzzification

3. Fuzzy Inference system (FIS)
Introduction
FIS is also Known as fuzzy-rule based system, fuzzy expert
system, fuzzy model, fuzzy associative memory ,fuzzy logic
Controller and Fuzzy system.
Basic Structure of a FIS consist of :
•Rule Base –contains selections of fuzzy rules
•Database or Dictionary –defines membership functions
•Reasoning Mechanism –performs fuzzy reasoning

4. Fuzzy Inference system (FIS)-Applications
Data Classification
Fuzzy Inference
system
Automatic Control
Expert Systems
Time-Series Prediction
Pattern Recognition Robotics
Decision Analysis

5. Fuzzy Inference System (Block Diagram)
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Rule 1
Rule r
Rule 2
AggregatorDefuzzification
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Crisp or Fuzzy
(Fuzzy)
(Fuzzy)
(Fuzzy)
(Fuzzy) (Crisp)

6. Fuzzy Inference system -Types
Mamdani FIS Sugeno FIS Tsukamoto FIS
Fuzzy Inference system