UPM Facultad de Informática Departamento de Matemática Aplicada eMathTeacher: Mamdani's Fuzzy Inference Method
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Motivation
Classical approach
Fuzzy approach

Membership functions

Fuzzy operators

FIS Introduction

Mamdani's Method
1: Evaluate antecedent
2: Obtain conclusion
3: Aggregate conclusions
4: Defuzzify
5: Summary/Conclusions

Example 1: Traffic

Example 2: Heating

Practice: FIS Creation

  

MAMDANI'S METHOD

Mamdani's method is the most commonly used in applications, due to its simple structure of 'min-max' operations. We will go through each one of the steps of the method with the help of the example shown in theMotivation section.

Step 1: Evaluate the antecedent for each rule.

Step 2: Obtain each rule's conclusion.

Step 3: Aggregate conclusions.

Step 4: Defuzzification.

Summary/Conclusions
Next: Step 1 - Evaluate antecedent