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UNIVERSITY OF REGINAUNIVERSITY OF REGINAFACULTY OF ENGINEERINGFACULTY OF ENGINEERING
W I S E LABW I S E LAB
A Cascaded Fuzzy Inference System for A Cascaded Fuzzy Inference System for Dynamic Online Portals CustomizationDynamic Online Portals Customization
Erika Martinez RamirezErika Martinez RamirezDr. Rene V. MayorgaDr. Rene V. Mayorga
20032003
IntroductionIntroduction
• An application of Electronic Commerce using Fuzzy Logic Inference system is presented in this final project.
• Implementation of a Paradigm for Intelligent Decision and Control; and also the Intelligent Design and Operation of Human-Computer interfaces [1].
• The artificial technique used is Fuzzy Logic Inference and the software required execute the program is Matlab V.6.1.
Analize User Characteristics
Fuzzy Logic Inference
User Profile .
DevelopmentDevelopment
Purchaser Capacity
Purchaser Free Time
F U Z Z Y S Y S T E M
“ Main2 “
(Fuzzy Agent)
Preference
Link
(Fuzzy Agent)
Occupation
Purchaser Link
Occupation Experience
Gender
Age
Marital Status
Studies
Years WorkingChildren AgeOccupation
News
Health
Entertainment
Shopping
Travel
Preferences
News
Health
Others Links
DevelopmentDevelopment
Main2.fis Main2.fis
(General links Fuzzy Agent)(General links Fuzzy Agent)
PreferencesLinks.fis PreferencesLinks.fis
(Additional links Fuzzy Agent)(Additional links Fuzzy Agent)
TypeType MamdaniMamdani MamdaniMamdani
Number of Inputs Number of Inputs 77 77
Number of OutputsNumber of Outputs 55 44
Number of RulesNumber of Rules 5656 3434
Defuzzification MethodDefuzzification Method mommom mommom
Fuzzy System Characteristics
There are two Types of Fuzzy systems:
Mamdani-type inference -- A type of fuzzy inference in which the fuzzy sets from the consequent of each rule are combined through the aggregation operator and the resulting fuzzy set is defuzzified to yield the output of the system.
Sugeno-type inference -- A type of fuzzy inference in which the consequent of each rule is a linear combination of the inputs. The output is a weighted linear combination of the consequents.
The several defuzzification strategies are:
centroid : centroid of area methodbisector : bisector of area methodmom : mean of maximum methodsom : smallest of maximum methodlom : largest of maximum method
DevelopmentDevelopment
Years WorkingStudiesOccupation
Main2(Fuzzy Agent)
Rules
Purchaser Link
Rules
Rules
Rules
Purchaser Capacity
Purchaser Free Time
Occupation Experience
RulesOccupation
GenderAgeMarital Status
StudiesYears Working
Marital StatusChildren Age
Occupation
The relationship between inputs and outputs are as follow:
Purchase CapacityAge
EntertainmentShoppingTravel
Preference Link(Fuzzy Agent)
Rules
Preferences
Rules
Rules
Rules
News
Health
Others Links
AgeNews
AgeHealth
Inputs
Gender Age Studies Years Working Marital Status Occupational Area Children Age
MaleFemale
Very youngYoungMiddle ageOld
None
Primary-High-Tech School
University
Graduate Studies
NoneFewSomeSeveral
SingleMarried
EngineeringBusinessArtsSciences
LowMediumHigh
Outputs
Purchaser Capacity Purchaser Links Free Time Occupational Experience Occupation
Very poorPoorModerateGoodVery good
KidsTeensWomenManMature
NoneA littleMediumA lot
BeginnersModerateExperts
Technical-Engineering
Business-Administration-Marketing
Art-Music-Ballet
Medical-Computer-Biology
Input Variable: Gender
Input Variable: Age
Input Variable: Studies
Input Variable: Years Working
Input Variable: Marital Status
Input Variable: Children Age
Input Variable: Occupation
I N P U T S
O U T P U T SOutput Variable: Purchaser Capacity
Output Variable: Purchaser Links
Output Variable: Purchaser Free Time
Output Variable: Experience Level
Output Variable: Occupation
Age & Gender Purchaser Link
ManFemale Marital Status
Very Young Kids Kids --
Young Teen Teen --
Middle age Men Woman Single BoySingle Girls
Old Mature Mature Single Mature
Rules
Purchaser LinkGenderAgeMarital Status
RulesPurchaser CapacityStudies
Years Working
Years working & Level of education Purchaser Capacity
NoneElementary High schoolTech School
University Graduate Studies
None Very Poor Very Poor Very Poor Very Poor
Few Poor Moderate Good Good
Some Poor Good Good Very Good
Several Moderate Good Very Good Very Good
Occupation & Level of education Experience
NoneElementary High schoolTech School
UniversityGraduate Studies
Engineering Beginners Beginners Experts Experts
Business Intermediate Intermediate Experts Experts
Arts Beginners Beginners Intermediate Experts
Sciences Beginners Intermediate Intermediate Experts
Gender & Children Age Purchaser Free Time
NoneBabies Kids Teenagers
Single A lot None A little Moderate
Married Moderate A little Moderate A lot
RulesPurchaser Free TimeMarital Status
Children Age
Years WorkingStudiesOccupation
Rules Occupation Experience
Purchase CapacityAge
EntertainmentShoppingTravel
Preference Link(Fuzzy Agent)
Rules
Rules
Rules
Rules
AgeNews
AgeHealth
Preferences
News
Health
Others Links
Preference Link
Fuzzy Agent
I N P U T S
Input Variable: Purchaser Capacity
Input Variable: Age
Input Variable: Entertainment
Input Variable: Shopping
Input Variable: Travel
Input Variable: News
Input Variable: Health
O U T P U T SOutput Variable: Preferences
Output Variable: News
Output Variable: Health
Output Variable: Others Links
Thanks !Thanks !
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