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FUZZY LOGIC
BY: SHAISHAV Kr DAHAL(106)
VIKASH KHADKA(117)
10/24/2015 FUZZY LOGIC 1
OVERVIEW
• FUZZY LOGIC
• WHY FUZZY LOGIC ?
• FUZZY SETS
• APPLICATION OF FUZZY LOGIC
• JUDGEMENTAL BIASES AND CORRECTIVE
PROCEDURES
• AVOIDING JUDGEMENTAL BIAS
10/24/2015 FUZZY LOGIC 2
INTRODUCTION
• Applicable in embedded control and
information processing
• Simple way to draw conclusions
• In other words, resembles human decision
making with ability to work from approximate
data and find precise solutions
• Improve quality and development time
10/24/2015 FUZZY LOGIC 3
WHY ?????
• Alternative method, simple and faster
• Reduces design development cycle
• Simplifies design complexity
• Improves control performance
• Reduces hardware costs
• Simplifies implementation
10/24/2015 FUZZY LOGIC 4
Applications
 self-focusing cameras
washing machines that adjust themselves
according to how dirty the clothes
subway control systems
 Air conditioners
Rice cookers
Dishwashers and other home appliances
10/24/2015 FUZZY LOGIC 5
TEMPERATURE CONTROLLER
 The problem
 Change the speed of a heater fan, based off the room temperature
and humidity.
 A temperature control system has four settings
 Cold, Cool, Warm, and Hot
 Humidity can be defined by:
 Low, Medium, and High
 Using this we can define
the fuzzy set.
10/24/2015 FUZZY LOGIC 6
JUDGEMENTAL BIASES AND
CORRECTIVE PROCEDURES
• Strive to make accurate judgment possible..
Trapped by psychological inconsistency
• In other words , decision based on shortcuts
that are good most of the time
• These can be descreased or minimized if
become aware
10/24/2015 FUZZY LOGIC 7
JUDGMENTAL BIAS
• SELECTIVE PERCEPTION
Figure ground principle
Relevancy
• IMPRESSION EFFECT
primacy and recency effects
• PRESENTATION EFFECTS
• FRAMING EFFECTS
• CATEGORIZATION EFFECTS
10/24/2015 FUZZY LOGIC 8
ANY QUERIES????
THANK YOU
10/24/2015 FUZZY LOGIC 9

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Fuzzy logic

  • 1. FUZZY LOGIC BY: SHAISHAV Kr DAHAL(106) VIKASH KHADKA(117) 10/24/2015 FUZZY LOGIC 1
  • 2. OVERVIEW • FUZZY LOGIC • WHY FUZZY LOGIC ? • FUZZY SETS • APPLICATION OF FUZZY LOGIC • JUDGEMENTAL BIASES AND CORRECTIVE PROCEDURES • AVOIDING JUDGEMENTAL BIAS 10/24/2015 FUZZY LOGIC 2
  • 3. INTRODUCTION • Applicable in embedded control and information processing • Simple way to draw conclusions • In other words, resembles human decision making with ability to work from approximate data and find precise solutions • Improve quality and development time 10/24/2015 FUZZY LOGIC 3
  • 4. WHY ????? • Alternative method, simple and faster • Reduces design development cycle • Simplifies design complexity • Improves control performance • Reduces hardware costs • Simplifies implementation 10/24/2015 FUZZY LOGIC 4
  • 5. Applications  self-focusing cameras washing machines that adjust themselves according to how dirty the clothes subway control systems  Air conditioners Rice cookers Dishwashers and other home appliances 10/24/2015 FUZZY LOGIC 5
  • 6. TEMPERATURE CONTROLLER  The problem  Change the speed of a heater fan, based off the room temperature and humidity.  A temperature control system has four settings  Cold, Cool, Warm, and Hot  Humidity can be defined by:  Low, Medium, and High  Using this we can define the fuzzy set. 10/24/2015 FUZZY LOGIC 6
  • 7. JUDGEMENTAL BIASES AND CORRECTIVE PROCEDURES • Strive to make accurate judgment possible.. Trapped by psychological inconsistency • In other words , decision based on shortcuts that are good most of the time • These can be descreased or minimized if become aware 10/24/2015 FUZZY LOGIC 7
  • 8. JUDGMENTAL BIAS • SELECTIVE PERCEPTION Figure ground principle Relevancy • IMPRESSION EFFECT primacy and recency effects • PRESENTATION EFFECTS • FRAMING EFFECTS • CATEGORIZATION EFFECTS 10/24/2015 FUZZY LOGIC 8