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70+ Advanced Neural Network and Fuzzy System Solved MCQs

These multiple-choice questions (MCQs) are designed to enhance your knowledge and understanding in the following areas: Master of Science in Computer Science (MSc CS) .

1.

Fuzzy logic is a form of

A. two-valued logic
B. crisp set logic
C. many-valued logic
D. binary set logic
Answer» C. many-valued logic
2.

The truth values of traditional set theory is ____________ and that of fuzzy set is __________

A. either 0 or 1, between 0 & 1
B. between 0 & 1, either 0 or 1
C. between 0 & 1, between 0 & 1
D. either 0 or 1, either 0 or 1
Answer» A. either 0 or 1, between 0 & 1
3.

How many types of random variables are available?

A. 1
B. 2
C. 3
D. 4
Answer» C. 3
4.

The values of the set membership is represented by

A. discrete set
B. degree of truth
C. probabilities
D. both b & c
Answer» B. degree of truth
5.

What is meant by probability density function?

A. probability distributions
B. continuous variable
C. discrete variable
D. probability distributions for continuous variables
Answer» D. probability distributions for continuous variables
6.

Which of the following is used for probability theory sentences?

A. conditional logic
B. logic
C. extension of propositional logic
D. none of the mentioned
Answer» C. extension of propositional logic
7.

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

A. and
B. or
C. not
D. ex-or
Answer» C. not
8.

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
Answer» A. hedges
9.

Where does the Bayes rule can be used?

A. solving queries
B. increasing complexity
C. decreasing complexity
D. answering probabilistic query
Answer» D. answering probabilistic query
10.

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
Answer» A. complete description of the domain
11.

Fuzzy logic is usually represented as

A. if-then-else rules
B. if-then rules
C. both a & b
D. none of the mentioned
Answer» B. if-then rules
12.

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

A. fuzzy logic
B. probability
C. entropy
D. all of the mentioned
Answer» D. all of the mentioned
13.

____________ 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
Answer» C. fuzzy set
14.

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
Answer» B. fully connected
15.

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
Answer» C. conditionally independent
16.

How many terms are required for building a Bayesian model?

A. 1
B. 2
C. 3
D. 4
Answer» C. 3
17.

What is needed to make probabilistic systems feasible in the world?

A. reliability
B. crucial robustness
C. feasibility
D. none of the mentioned
Answer» B. crucial robustness
18.

How the entries in the full joint probability distribution can be calculated?

A. using variables
B. using information
C. both a & b
D. none of the mentioned
Answer» B. using information
19.

How the Bayesian network can be used to answer any query?

A. full distribution
B. joint distribution
C. partial distribution
D. all of the mentioned
Answer» B. joint distribution
20.

How the compactness of the Bayesian network can be described?

A. locally structured
B. fully structured
C. partial structure
D. all of the mentioned
Answer» A. locally structured
21.

To which does the local structure is associated?

A. hybrid
B. dependent
C. linear
D. none of the mentioned
Answer» C. linear
22.

The primary interactive method of communication used by humans is:

A. reading
B. writing
C. speaking
D. all of the mentioned
Answer» C. speaking
23.

Elementary linguistic units which are smaller than words are:

A. allophones
B. phonemes
C. syllables
D. all of the mentioned
Answer» D. all of the mentioned
24.

In LISP, the atom that stands for “true” is

A. t
B. ml
C. y
D. time
Answer» A. t
25.

A mouse device may be:

A. electro-chemical
B. mechanical
C. optical
D. both b and c
Answer» D. both b and c
26.

An expert system differs from a database program in that only an expert system:

A. contains declarative knowledge
B. contains procedural knowledge
C. features the retrieval of stored information
D. expects users to draw their own conclusions
Answer» B. contains procedural knowledge
27.

Natural language understanding is used in:

A. natural language interfaces
B. natural language front ends
C. text understanding systems
D. all of the mentioned
Answer» D. all of the mentioned
28.

Which of the following are examples of software development tools?

A. debuggers
B. editors
C. assemblers, compilers and interpreters
D. all of the mentioned
Answer» D. all of the mentioned
29.

The first AI programming language was called:

A. basic
B. fortran
C. ipl(inductive logic programming)
D. lisp
Answer» D. lisp
30.

The Personal Consultant is based on:

A. emycin
B. ops5+
C. xcon
D. all of the mentioned
Answer» D. all of the mentioned
31.

What is the extraction of the meaning of utterance?

A. syntactic
B. semantic
C. pragmatic
D. none of the mentioned
Answer» B. semantic
32.

What is the process of associating an FOL expression with a phrase?

A. interpretation
B. augment reality
C. semantic interpretation
D. augment interpretation
Answer» C. semantic interpretation
33.

What is meant by compositional semantics?

A. determining the meaning
B. logical connectives
C. semantics
D. none of the mentioned
Answer» A. determining the meaning
34.

What is used to augment a grammar for arithmetic expression with semantics?

A. notation
B. dcg (definite clause grammar) notation
C. constituent
D. all of the mentioned
Answer» B. dcg (definite clause grammar) notation
35.

What can’t be done in the semantic interpretation?

A. logical term
B. complete logical sentence
C. both a & b
D. none of the mentioned
Answer» C. both a & b
36.

How many verb tenses are there in English language?

A. 1
B. 2
C. 3
D. 4
Answer» C. 3
37.

Which is used to mediate between syntax and semantics?

A. form
B. intermediate form
C. grammar
D. all of the mentioned
Answer» B. intermediate form
38.

What is meant by quasi-logical form?

A. sits between syntactic and logical form
B. logical connectives
C. both a & b
D. none of the mentioned
Answer» A. sits between syntactic and logical form
39.

How many types of quantification are available in artificial intelligence?

A. 1
B. 2
C. 3
D. 4
Answer» B. 2
40.

What kind of interpretation is done by adding context dependent information?

A. semantic
B. syntactic
C. pragmatic
D. none of the mentioned
Answer» C. pragmatic
41.

Which condition is used to cease the growth of forward chaining?

A. atomic sentences
B. complex sentences
C. no further inference
D. all of the mentioned
Answer» C. no further inference
42.

Which closely resembles propositional definite clause?

A. resolution
B. inference
C. conjunction
D. first-order definite clauses
Answer» D. first-order definite clauses
43.

What is the condition of variables in first-order literals?

A. existentially quantified
B. universally quantified
C. both a & b
D. none of the mentioned
Answer» B. universally quantified
44.

Which is more suitable normal form to be used with definite clause?

A. positive literal
B. negative literal
C. generalized modus ponens
D. neutral literal
Answer» C. generalized modus ponens
45.

Which will be the instance of the class data log knowledge bases?

A. variables
B. no function symbols
C. first-order definite clauses
D. none of the mentioned
Answer» B. no function symbols
46.

Which knowledge base is called as fixed point?

A. first-order definite clause is similar to propositional forward chaining
B. first-order definite clause is mismatch to propositional forward chaining
C. both a & b
D. none of the mentioned
Answer» A. first-order definite clause is similar to propositional forward chaining
47.

How to eliminate the redundant rule matching attempts in the forward chaining?

A. decremental forward chaining
B. incremental forward chaining
C. data complexity
D. none of the mentioned
Answer» B. incremental forward chaining
48.

From where did the new fact inferred on new iteration is derived?

A. old fact
B. narrow fact
C. new fact
D. all of the mentioned
Answer» C. new fact
49.

Which will solve the conjuncts of the rule so that the total cost is minimized?

A. constraint variable
B. conjunct ordering
C. data complexity
D. all of the mentioned
Answer» B. conjunct ordering
50.

How many possible sources of complexity are there in forward chaining?

A. 1
B. 2
C. 3
D. 4
Answer» C. 3

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