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Introduction to Fuzzy Logic

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Predicate Logic( First order, second order & higher order logic)? Fuzzy Logic ... Negation. Disjunction. Conjunction. Implication. Fuzzy operations ... – PowerPoint PPT presentation

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Title: Introduction to Fuzzy Logic


1
Introduction to Fuzzy Logic
  • Supem Samarasiri (060424G)?
  • Department of Electronic Telecommunication
    Engineering
  • University of Moratuwa

2
Types of Logic
  • Propositional Logic
  • Predicate Logic( First order, second order
    higher order logic)?
  • Fuzzy Logic

3
Propositional Logic
  • Has two states (true/false) or (1/0)?
  • Has connectives or and implies not
  • Eg x5 can either be true or false

4
Limits of Propositional Logic
  • Cannot express statements such as for all x P(x)?
  • for an infinite domain.

5
First Order Logic
  • Often called predicate logic this logical system
    introduces quantifiers and has 4 basic quantifier
    rules for deduction

6
Limitations in FOL
  • Cant express finiteness and countability

7
Second order Logic
  • To Outcome limitations in FOL we have defined SOL
    and HOL's which can be used to describe
    properties of relations of relations of
    relations.......of relations.

8
Fuzzy Logic
  • Question
  • What is fuzzy?

9
Fuzzy Logic
  • Fuzzy means vagueness.

10
Fuzzy set Theory
  • As normal logics are related to normal set theory
    fuzzy logic is related to fuzzy set theory.

11
Fuzzy sets
  • Unlike normal crisp sets fuzzy sets can express
    whether an element is belonging to a set in a
    range of 0,1. A function so called membership
    function will give the corresponding value
    between 0,1 for each element.

12
Fuzzy sets
  • A
  • Where X is the domain and
  • is the membership function.

13
Membership Functions
  • Membership functions provide the value of
    membership for particular elements. The figure
    above shows the membership functions of
    cold(blue), warm(yellow) and hot(red) fuzzy sets
    of a anti locking brake system. Note that unlike
    crisp predicate logic and set theory for some
    temperature values it can be both cold and warm
    at the same time.

14
Fuzzy set operations
  • As in crisp set theory the basic union,
    intersection, compliment operations are defined
    in the following manner in Fuzzy set Theory as
    membership corresponding functions

15
Fuzzy Logic
  • Like in Fuzzy Sets fuzzy propositions have a
    value in the range 0,1. Which is denoted by
    T(p) the truth value of p

16
Fuzzy Operations
  • Like in predicate logic Fuzzy logic also have the
    following operations
  • Negation
  • Disjunction
  • Conjunction
  • Implication

17
Fuzzy operations

18
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