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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 |
Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False
The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set
The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c
Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False
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
Traditional set theory is also known as Crisp Set theory. a) True b) False
What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables
What are disadvantages of fuzzy logic systems?
Why fuzzy logic?
What is fuzzy logic?
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
There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentioned
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