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What is Fuzzy Logic? Where do You implement it?
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Answer / b.sunil kumar reddy
It's a multi valued logic.
In Boolean logic is two valued logic,where we will say
an element belongs to a set with memebership 1, if it
doesnt belogs to the set then it's memebership is 0.
Where as in fuzzy sets we say degree of mebership
between 0 and 1.
For example,we have a set of men's age.
In Boolean logic a person X aged 51 we will say x is old
and a person Y aged 49 we will say young.
In fuzzy logic we say X belongs to the old men set with a
membership of 0.51 and to youngmen set with a membership of
0.49
So Boolean logic is our Black&White TV where as Fuzzy logic
is Colour TV
Fuzzy logic is a Discrete spectrum of values.
| Is This Answer Correct ? | 14 Yes | 1 No |
Answer / bani
fuzzy logic is nothing but the multivalued logic used for
partially truth statement,where degree of membership is
encountered whose value ranges from 0 to 1,instead of being
either 0 or one only
this is implemented in natural language understanding and
representation where we use linguistic variable like age.
| Is This Answer Correct ? | 5 Yes | 3 No |
Answer / abipaulraj
Fuzzy logic is an approach to computing based on
the "degrees of truth". it means true or false. In boolean
1 and 0...1 represents the true value and 0 represents the
false value. Actually it is fully based on our brain works.
Fuzzy logic is a one of the real time expert systems.
It is used in any type of real time expert system. For
example, Fuzzy logic control of Washing Machine.
| Is This Answer Correct ? | 1 Yes | 1 No |
What is fuzzy logic systems architecture?
____________ are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic. a) Fuzzy Relational DB b) Ecorithms c) Fuzzy Set d) None of the mentioned
Traditional set theory is also known as Crisp Set theory. a) True b) False
Like relational databases there does exists fuzzy relational databases. a) True b) False
What does the Bayesian network provides? a) Complete description of the domain b) Partial description of the domain c) Complete description of the problem d) None of the mentioned
What is the consequence between a node and its predecessors while creating Bayesian network? a) Conditionally dependent b) Dependent c) Conditionally independent d) Both a & b
What are applications of fuzzy logic?
The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c
Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
Which condition is used to influence a variable directly by all the others? a) Partially connected b) Fully connected c) Local connected d) None of the mentioned
What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables
What is artificial intelligence fuzzy logic?
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