What is Fuzzy Logic? Where do You implement it?
Answers were Sorted based on User's Feedback
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
What is Fuzzy Logic? Where do You implement it?
3 Answers iGate, T3 Softwares,
The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set
What are applications of fuzzy logic?
What is fuzzy logic?
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
Where do we implement artificial intelligence fuzzy logic?
Traditional set theory is also known as Crisp Set theory. a) True b) False
______________ is/are the way/s to represent uncertainty. a) Fuzzy Logic b) Probability c) Entropy d) All of the mentioned
Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) EX-OR
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
Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)