Title: III' FUZZY LOGIC Lecture 3
1III. FUZZY LOGIC Lecture 3
- OBJECTIVES
- 1. To define the basic notions of fuzzy logic
- 2. To introduce the logical operations and
relations on fuzzy sets - 3. To learn how to obtain results of fuzzy
logical operations - 4. To apply what we learn to GIS
2 OUTLINEIII.
FUZZY LOGIC
A. Introduction B. Inputs to fuzzy logic
systems - fuzzification C. Fuzzy propositions
D. Fuzzy hedges E. Computing the results of
a fuzzy proposition given an input F.
The resulting action
3A. Introduction (figure from Earl Cox)
4Introduction
- Steps (Earl Cox based on previous slide)
- 1. Input vocabulary, fuzzification (creating
fuzzy sets) - 2. Fuzzy propositions IF X is Y THEN Z (or Z is
A) there are four types of propositions - 3. Hedges very, extremely, somewhat, more, less
- 4. Combination and evaluation computation of
the results given the inputs - 5. Action - defuzzification
5Input vocabulary, fuzzification (creating a
fuzzy set) by using our previous methods of
frequency, combination, experts/surveys (figure
from Earl Cox)
6Input (figure from KlirYuan)
7Fuzzy Propositions types 1 and 2
- GENERAL FORMS
- 1. Unconditional and unqualified
- proposition Q is P
- Example Temperature(Q) is high(P)
-
- 2. Unconditional and qualified
- proposition proposition(Q is P) is R
- Example That Coimbra and Catania are beautiful
is very true.
8Fuzzy Proposition type 1 and 2 (from Earl Cox)
9Fuzzy Propositions type 1 and 2 (from Earl Cox)
10Fuzzy Propositions type 3
- 3. Conditional and unqualified
- proposition IF Q is P THEN R is S
- Example If Robert is tall, then clothes are
large. - If car is slow, then gear is low.
-
11Fuzzy Propositions type 4
- 4. Conditional and qualified
- proposition IF Q is P THEN R is S is T
- proposition(IF Q is P THEN R
is S ) is T
12Fuzzy Hedges (from Earl Cox)
13Fuzzy Hedges (from Earl Cox)
14Illustrations of Fuzzy Propositions
Composition/Evaluation (from KlirYuan)
15Illustrations of Fuzzy Propositions
Composition/Evaluation (Earl Cox)
16Illustrations of Fuzzy Propositions
Composition/Evaluation (from Earl Cox)
17Illustrations of Fuzzy Propositions Decomposition
Defuzzification/Action (from Earl Cox)
18Defuzzification (from Earl Cox)
19Defuzzification (from Earl Cox)