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MATLAB Fuzzy Logic Toolbox

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MATLAB Fuzzy Logic Toolbox. CS364 Artificial Intelligence. MATLAB Fuzzy Logic Toolbox. Introduction Graphical User Interface (GUI) Tools Example: Dinner for two. Introduction. MATLAB fuzzy logic toolbox facilitates the development of fuzzy-logic systems using:.

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slide1

MATLAB Fuzzy Logic Toolbox

CS364 Artificial Intelligence

slide2

MATLAB Fuzzy Logic Toolbox

  • Introduction
  • Graphical User Interface (GUI) Tools
  • Example: Dinner for two
slide3

Introduction

MATLAB fuzzy logic toolbox facilitates the development of fuzzy-logic systems using:

  • graphical user interface (GUI) tools
  • command line functionality

The tool can be used for building

  • Fuzzy Expert Systems
  • Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
slide4

Introduction

Graphical User Interface (GUI) Tools

There are five primary GUI tools for building, editing, and observing fuzzy inference systems in the Fuzzy Logic Toolbox:

  • Fuzzy Inference System (FIS) Editor
  • Membership Function Editor
  • Rule Editor
  • Rule Viewer
  • Surface Viewer
slide5

MATLAB Fuzzy Logic Toolbox

  • Introduction
  • Graphical User Interface (GUI) Tools
  • Example: Dinner for two
slide7

Graphical User Interface (GUI) Tools

Fuzzy Inference System (FIS) Editor

Define number of input and output variables

Adjust fuzzy inference functions

Name and edit names of input, output variables

slide8

Graphical User Interface (GUI) Tools

Membership Function Editor

Select & edit attributes of membership function

Display & edit values of current variable

Name & edit parameters of membership function

slide9

Graphical User Interface (GUI) Tools

Rule Editor

Rules – automatically updated

Create and edit rules

slide10

Graphical User Interface (GUI) Tools

Rule Viewer

Shows how input variable is used in rules

Shows how output variable is used in rules; shows output of fuzzy system

slide11

Graphical User Interface (GUI) Tools

Surface Viewer

Shows output surface for any system output versus any one (or two) inputs

Specify input and output variables

slide12

MATLAB Fuzzy Logic Toolbox

  • Introduction
  • Graphical User Interface (GUI) Tools
  • Example: Dinner for two
slide13

Example: Dinner for two

Golden rules for tipping:

  • IF the service is poor OR the food is rancid, THEN tip is cheap (5%).
  • 2. IF the service is good, THEN tip is average (15%).
  • 3. IF the service is excellent OR the food is delicious, THEN tip is generous (25%).
slide15

Example: Dinner for two

Fuzzy Inference System (FIS) Editor

input variables

output variable

slide16

Example: Dinner for two

Membership Function Editor

Select type of membership function

slide18

Example: Dinner for two

Rule Viewer

Defuzzified output

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