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A New Approach to Teaching Fuzzy Logic System Design Emine Inelmen, Erol Inelmen, Ahmad Ibrahim Padova University, Padova, Italy Bogazici University, Istanbul, Turkey DeVry Institute of Technology, Toronto, Ontario, Canada. EXPERT. ENGINEER. USER. INTRODUCTION. DISCUSSION. CONCLUSION.

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A New Approach to Teaching Fuzzy Logic System Design

Emine Inelmen,Erol Inelmen, Ahmad Ibrahim

Padova University,Padova, Italy

Bogazici University,Istanbul, Turkey

DeVry Institute of Technology,Toronto, Ontario, Canada

expert
EXPERT

ENGINEER

USER

introduction
INTRODUCTION

DISCUSSION

CONCLUSION

theory
THEORY

PRACTICE

RESEARCH

textbooks
TEXTBOOKS

CATALOGUES

JOURNALS

rules
RULES

FUNCTIONS

OPERATIONS

slide8

\'literacy‘\'computancy‘\'motivation‘\'attendance‘\'search‘\'artistic‘\'work‘\'grade\'\'literacy‘\'computancy‘\'motivation‘\'attendance‘\'search‘\'artistic‘\'work‘\'grade\'

slide9

Yen, J.Langari; R.,

Fuzzy Logic: Intelligence, Control, and Information.

Upper Saddle River, Prentice Hall, N.J. (1999).

slide10

fuzzification

defuzzification

has

aggregation

universe

implication

turns to

turns to

can be

has

iak

crip set

element

reduces by

number

inference

iak

set

has

operator

name

has

two

solves by

forms

uses

has

fuzzy set

range

can be

Fuzzy Logic

relation

uses

multi

iak

value

fires

has

uses

uses

logic

has smooth

boundaries

has

has

rules

possibility

T-norm

define

membership type

hedge

has

T-conorm

consequent

can have

membership function

has

modifier

defines

antecendent

has

term

defines

membership degree

has

linguistic variable

19.06.03

uses

anfis
ANFIS

GA

CBR

slide12

Acknowledgement

The support given by

Dr. Zenon J. Pudlowski

is acknowledged. Science can only develop when organizations like UICEE create strong networks between researches in different fields and geographies.

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