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.

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.

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.

Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False

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Like relational databases there does exists fuzzy relational databases. a) True b) False

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Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False

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______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned

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 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

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What are applications of fuzzy logic?

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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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____________ 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

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How many types of random variables are available? a) 1 b) 2 c) 3 d) 4

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Where do we implement artificial intelligence fuzzy logic?

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What are advantages of fuzzy logic systems?

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The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set

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