MCQs of Statistical Reasoning (Artificial Intelligence - 2180703)

Artificial Intelligence (2180703) MCQs

MCQs of Statistical Reasoning

Showing 21 to 20 out of 30 Questions

21.

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

(a)	AND
(b)	OR
(c)	NOT
(d)	All of the mentioned

22.

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

23.

Fuzzy logic is usually represented as ___________

(a)	IF-THEN-ELSE rules
(b)	IF-THEN rules
(c)	Both IF-THEN-ELSE rules & IF-THEN rules
(d)	None of the mentioned

24.

Like relational databases there does exists fuzzy relational databases.

(a)	TRUE
(b)	FALSE

25.

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

(a)	Fuzzy Logic
(b)	Probability
(c)	Entropy
(d)	All of the mentioned

26.

____________ 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

27.

Which of the following is not a part of fuzzy logic Systems Architecture

(a)	Fuzzification Module
(b)	Knowledge Base
(c)	Defuzzification Module
(d)	Interference base

28.

Fuzzy Computing

(a)	doesn't deal with 2 valued logic
(b)	mimics human behaviour
(c)	deals with information which is vague, imprecise, uncertain, ambiguous, inexact, or probabilistic
(d)	All of the above

29.

____________________ is the process of converting a fuzzified output into a single crisp value with respect to a fuzzy set.

(a)	Fuzzification Module
(b)	Rule inference
(c)	Defuzzification
(d)	None of the mentioned

30.

A ___________________ is a probabilistic graphical model which represents a set of variables and their conditional dependencies using a directed acyclic graph

(a)	Neural Network
(b)	Bayesian Network
(c)	Genetic Algorithm
(d)	None of the mentioned

Showing 21 to 20 out of 30 Questions