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

 

MOTIVATION

To show the importance of fuzzy logic, we will begin this tutorial by introducing two approaches to solve a decision problem: the classical approach and the fuzzy approach, with the help of an easy example obtained fromMatlab's tutorial.

Let's consider the Tipping Problem:

Given a number between 0 and 10 that represents the quality of service at a restaurant, what should the tip be?



Next: Classical approach