1. Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.

a) AND

b) OR

c) NOT

d) EX-OR

View Answer

Explanation: The AND, OR, and NOT operators of Boolean logic exist in fuzzy logic, usually defined as the minimum, maximum, and complement;

2. 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

View Answer

Explanation: None.

3. Where does the Bayes rule can be used?

a) Solving queries

b) Increasing complexity

c) Decreasing complexity

d) Answering probabilistic query

View Answer

Explanation: Bayes rule can be used to answer the probabilistic queries conditioned on one piece of evidence.

4. 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

View Answer

Explanation: A Bayesian network provides a complete description of the domain.

a) IF-THEN-ELSE rules

b) IF-THEN rules

c) Both a & b

d) None of the mentioned

View Answer

Explanation: Fuzzy set theory defines fuzzy operators on fuzzy sets. The problem in applying this is that the appropriate fuzzy operator may not be known. For this reason, fuzzy logic usually uses IF-THEN rules, or constructs that are equivalent, such as fuzzy associative matrices.

Rules are usually expressed in the form:

IF variable IS property THEN action

6. Like relational databases there does exists fuzzy relational databases.

a) True

b) False

View Answer

Explanation: Once fuzzy relations are defined, it is possible to develop fuzzy relational databases. The first fuzzy relational database, FRDB, appeared in Maria Zemankova’s dissertation.

7. ______________ is/are the way/s to represent uncertainty.

a) Fuzzy Logic

b) Probability

c) Entropy

d) All of the mentioned

View Answer

Explanation: Entropy is amount of uncertainty involved in data. Represented by H(data).

8. ____________ 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

View Answer

Explanation: Local structure is usually associated with linear rather than exponential growth in complexity.

a) Partially connected

b) Fully connected

c) Local connected

d) None of the mentioned

View Answer

Explanation: None.

10. 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

View Answer

Explanation: The semantics to derive a method for constructing Bayesian networks were led to the consequence that a node can be conditionally independent of its predecessors.

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