Usually a _________ graph is chosen to represent a fuzzy set.

• A) Conical
• B) Triangular
• C) Circular
• D) square

If the antecedent is only partially true, then the output fuzzy set is truncated according to the _________ method.

• A) Extrinsic
• B) Implication
• C) Intrinsic
• D) Boolean

The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø >

• A) I
• B) K
• C) J
• D) H

Machine learning typically follows ___________ phases according to Finlay.

• A) Five
• B) Four
• C) Three
• D) Two

A concept is the representation of the __________ with respect to the given attributes.

• A) Knowledge
• B) None of the given
• C) Solution
• D) Problem

“The concept of partial truth” can best be handled by:

• A) Boolean logic
• B) Classical logic
• C) Fuzzy logic
• D) Parametric logic

________ stands for interactive dichotomizer

• A) IDC
• B) Int D
• C) None of the given
• D) ID

If the true ________ of a concept [c(xi)] is 1 or 0 for an instance, then the _______ by our hypothesis [h(xi)] is 1 or 0 as well, respectively.

• A) input, input
• B) input, output
• C) output, output
• D) output, input

Inductive learning takes examples and generalizes rather than starting with __________ knowledge.

• A) Deductive
• B) Inductive
• C) Existing
• D) None of the given

Outputs of learning are determined by the ___________

• A) Validation
• B) None of the given
• C) Application
• D) Training

__________ is the process by which the fuzzy sets that represent the outputs of each rule are combined into a single fuzzy set.

• A) Aggregation
• B) Implication
• C) Fuzzification
• D) None of the given

A drawback of FIND-S is that, it assumes the consistency within the _______ set.

• A) Smart
• B) Test
• C) Quality
• D) Training

_____________ learning works on existing facts and knowledge and deduces new knowledge from the old.

• A) Application
• B) Inductive
• C) None of the given
• D) Deductive

The Entropy is 1 when the collection contains number of positive examples _______ to/than negative examples.

• A) Greater
• B) None of the given
• C) Less
• D) Equal

In Fuzzy Inputs we resolve all fuzzy statements in the antecedent to a degree of membership between 0 and _____ .

• A) 1
• B) 2
• C) 3
• D) 4

Usually a _________ graph is chosen to represent a fuzzy set

• A) Bar
• B) Conical
• C) Triangular
• D) Circular

Which one is NOT the phase of machine learning:

• A) Validation
• B) None of the given
• C) Application
• D) Training

Inductive learning is based on the knowledge that if something happens a lot it is likely to be generally _________

• A) Ambiguous
• B) False
• C) None of the given
• D) True

Backward chaining, however, starts with the __________ and tries to reach down to all primitive nodes (marked by ‘?’), where information is sought from the user.

• A) transition state
• B) last state
• C) intermediate state
• D) goal state

Rule, which may have a priority in expert systems, is called

• A) Meta rule
• B) Conflict resolution rule
• C) Forward chain rule
• D) backward chain rule