Please check her tweet

@cyberian

Too many answers to this question have given examples of languages that aren’t really all that suited for all purposes; C, Assembly and Machine Language being the biggest examples. Sure, these are Turing complete, but they aren’t all that great for exploratory programming, or for prototyping, so they fail. Similarly, I like Python, and I’d suspect that I’d be at home with Ruby, but these languages define “getting close to the metal” as “Profile your programs, find the parts that run the most, and write those parts in C”. Hardly universal at all.

@zaasmi
OCaML is The ONE!!! That’s why Facebook is widely using it (in the shape of ReasonML)

Question
Identify the statement which best defines the fuzzy sets.

Fuzzy sets, unlike classical sets, restrict themselves to something lying wholly in either set A or in set not-A.
Fuzzy sets, like classical sets, restrict themselves to something lying wholly in either set A or in set not-A.
Fuzzy sets, unlike classical sets, do not restrict themselves to something lying wholly in either set A or in set A.
Fuzzy sets, unlike classical sets, do not restrict themselves to something lying wholly in either set A or in set not-A.
Answer: 4 Chapter No.
Question
Identify that for which purpose statment given below is used (deftamplate Person (slot name (type STRING)) (slot age(type NUMBER)) )

Attributes of a fact
Rule
Rule definition
CLIPS
Answer: 4 Chapter No.
Question
Identify the correct statement to list facts numbers 1 through 10

clips> (facts 1 10)
clips> (facts 1 to 10)
clips> (facts 10)
clips> (facts 1)
Answer: 1 Chapter No.
Question
Fuzzy logic is actually a superset of conventional boolean logic

True
False
Answer: 1 Chapter No.
Question
Identify which statement defines classical sets in a best way

A classical set is a container, which wholly includes but not wholly excludes any given element.
A classical set is a container, which does not wholly includes or wholly excludes any given element.
A classical set is a container, which sometimes wholly includes or wholly excludes any given element.
A classical set is a container, which wholly includes or wholly excludes any given element.
Answer: 4 Chapter No.
Question
General stages of ESDLC includes.

Spiral model
Linear model
Beta system (tested by users)
Design coding
Answer: 3 Chapter No.
Question
Identify the correct definition of linear model given below.

A linear sequence of steps is applied repeatedly in an iterative fashion to develop the software models.
A non sequential sequence of steps is applied repeatedly in an iterative fashion to develop the expert systems.
A non linear sequence of steps is applied repeatedly in an iterative fashion to develop the expert systems.
A linear sequence of steps is applied repeatedly in an iterative fashion to develop the Expert Systems.
Answer: 4 Chapter No.
Question
Fuzzy logic is a subset of conventional (Boolean) logic.

True
False
Answer: 2 Chapter No.
Question
Identify the sets in which Membership Function is used.

Crisp set
Classical set
Fuzzy set
None of the given
Answer: 3 Chapter No.
Question
The goal of knowledge analysis is to analyze and structure the knowledge gained during the planning phase.

True
False
Answer: 2 Chapter No.
Question
Identify correct statement for the given rule. IF The aptitude level of an undergraduate student is low and The English understanding level of undergraduate student is dull THEN He is not eligible to go abroad for higher studies.

(deftamplate UnderGradStudent (slot attribute)(slot value))
(defrule StudentStatus (UnderGradStudent (attribute “aptitude level”)(value “low”))
(UnderGradStudent (attribute “English understanding level”)(value “dull”))
=> (printout t “He is not eligible to go abroad for higher studies”)
(deftamplate UnderGradStudent (slot attribute)(slot value))
(defrule StudentStatus (UnderGradStudent (attribute “aptitude level”)(value “low”))
(UnderGradStudent (attribute “English understanding level”)(value “dull”))
=> (printout t “He is not eligible to go abroad for higher studies”))
(deftamplate UnderGradStudent (slot attribute)(slot value))
(defrule StudentStatus (UnderGradStudent (attribute “aptitude level”)(value “low”))
(UnderGradStudent (attribute “English understanding level”)(value “dull”))
<=> (printout t “He is not eligible to go abroad for higher studies”))
(defrule StudentStatus (UnderGradStudent (attribute “aptitude level”)(value “low”))
(UnderGradStudent (attribute “English understanding level”)(value “dull”))
=> (printout t “He is not eligible to go abroad for higher studies”))
Answer: Chapter No.
Question
A classical set is a container, which wholly includes or wholly excludes any given element.

True
False
Answer: 1 Chapter No.
Question
Sequence wise main phases of Linear model used in developing expert systems are given below.

1)Planning
2)Knowledge acquisition and analysis
3)System evaluation
4)Knowledge design
5)Code
6)Knowledge verification
1)Planning
2)Knowledge acquisition and analysis
3)Knowledge design
4)System evaluation
5)Code
6)Knowledge verification
1)Planning
2)Knowledge acquisition and analysis
3)Knowledge design
4)Code
5)System evaluation
6)Knowledge verification
1)Planning
2)Knowledge acquisition and analysis
3)Knowledge design
4)Code
5)Knowledge verification
6)System evaluation
Answer: Chapter No.
Question
IF IELTS score of Ali is 6 and CGPA of Ali is 3.7 and GRE score of Ali is 66 Then He is eligible to take admission in any of the University abroad

(deftamplate Ali (slot attribute)(slot value))
(defrule Alichance (Ali (attribute “IELTS score”)(value “6”))
(Ali (attribute “CGPA”)(value “3.7”))
(Ali (attribute “GRE”)(value “66”))
<=
(printout t “He is eligible to take admission in any of the University abroad”))
(deftamplate Ali (slot attribute)(slot value))
(defrule Alichance (Ali (attribute “IELTS score”)(value “6”))
(Ali (attribute “CGPA”)(value “3.7”))(Ali (attribute “GRE”)(value “66”))
=>
(printout t “He is eligible to take admission in any of the University abroad”)
(deftamplate Ali (slot attribute)(slot value))
(defrule Alichance (Ali (attribute “IELTS score”)(value “6”))
(Ali (attribute “CGPA”)(value “3.7”))
(Ali (attribute “GRE”)(value “66”))
=>
(printout t “He is eligible to take admission in any of the University abroad”))
(defrule Alichance (Ali (attribute “IELTS score”)(value “6”))
(Ali (attribute “CGPA”)(value “3.7”))
(Ali (attribute “GRE”)(value “66”))
=>
(printout t “He is eligible to take admission in any of the University abroad”))
Answer: Chapter No.
Question
Identify the step involved in planning phase.

Knowledge acquisition from expert
Coding
Resource allocation
Identify concrete knowledge elements
Answer: 3 Chapter No.
Question
Identify the correct step used to start design of an expert system.

Feasiblity study
Problem recognization
Scope study
Rapid prototyping
Answer: 1 Chapter No.
Question
____________ learning works on existing facts and knowledge and deduces new knowledge from the old.

Deductive
Inductive
Application
None of the given
Answer: 1 Chapter No.
Question
A concept is the representation of the __________ with respect to the given attributes.

Solution
Problem
Knowledge
None of the given
Answer: 2 Chapter No.
Question
Each neuron in the hidden layer is responsible for a different _________.

Line
Layer
Neuron
None of the given
Answer: 1 Chapter No.
Question
If the true output of a concept [c(xi)] is 1 or 0 for an instance, then the output by our hypothesis [h(xi)] is 1 or 0 as well, respectively.

True
False
Answer: 1 Chapter No.
Question
In Candidate-Elimination algorithm version space is represented by two sets named:

G and S
G and F
S and F
H and S
Answer: 1 Chapter No.
Question
Inductive learning is based on the knowledge that if something happens a lot it is likely to be generally _________

True
False
Ambiguous
None of the given
Answer: 1 Chapter No.
Question
Inductive learning takes examples and generalizes rather than starting with __________ knowledge

Existing
Inductive
Deductive
None of the given
Answer: 1 Chapter No.
Question
Machine learning is a prerequisite for any mature program of artificial intelligence

True
False
Answer: 1 Chapter No.
Question
The tractable problems are further divided into structured and ____________ problems

Non-structured
Complex
Simple
None of the given
Answer: 2 Chapter No.
Question
Which one is NOT the advantage of Neural Network

Excellent for pattern recognition
Excellent classifiers
Handles noisy data well
None of the given
Answer: 4 Chapter No.
Question
_________ is the process of formulating the mapping from a given input to an output using Fuzzy logic.

FIZ
FIS
FOS
None of the given
Answer: Chapter No.
Question
The first step of FIND-S is to initialize h to the most specific hypothesis in __________: h = < Ø , Ø >

H
I
J
K
Answer: Chapter No.
Question
Outputs of learning are determined by the ________

Application
Validation
Training
None of the given
Answer: Chapter No.
Question
Inductive learning is based on the knowledge that if something happens a lot it is likely to be generally _______

TRUE
FALSE
Ambiguous
None of the given
Answer: Chapter No.
Question
Interactive Dichotomizer uses a special function ________, to evaluate the gain information of each attribute.

GAIN
GET
FIND
EVAL
Answer: Chapter No.
Question
Machine learning typically follows ___________ phases according to Finlay.

Two
Three
Four
Five
Answer: Chapter No.
Question
Each neuron in the hidden layer is responsible for a different _________.

Line
Layer
Neuron
None of the given
Answer: Chapter No.
Question
Artificial Neural Networks is a new learning paradigm which takes its roots from _________ inspired approach to learning.

Chemistry
Physics
Biology
Mathematics
Answer: Chapter No.
Question
A concept is the representation of the __________ with respect to the given attributes.

Solution
Problem
Knowledge
None of the given
Answer: Chapter No.
Question
The brain is a collection of about 100 ________ interconnected neurons.

Million
Billion
Trillion
None of the given
Answer: Chapter No.
Question
Intelligence is the characteristic of

Living being
All things
None of them
All of them
Answer: 1 Chapter No. 1
Question
Can we precisely define Artificial Intelligence?

Yes we can
No we can not
Answer: 2 Chapter No. 1
Question
Which of the following things demonstrate Intelligence?

Problem solving
Recognize/Remember
Think/learn/Plan/Schedule
All of the above
Answer: 4 Chapter No. 1
Question
Try to catch out own thoughts as they go by is ________.

Introspection
Psychology
Both of given
None of the given
Answer: 1 Chapter No. 2
Question
Intelligence is the ability to ____________.

Think/learn/Plan/Schedule
Recognize/Remember
Problem solving
All of the above
Answer: 4 Chapter No. 2
Question
__________ AI actually tries to recreate the functions of the inside of the brain as opposed to simply emulating behavior.

Weak
Strong
Weak and Strong
None of the given
Answer: 2 Chapter No. 2
Question
__________ AI treats the brain as a black box and just emulates its functionality.

Weak
Strong
Weak and Strong
None of the given
Answer: 1 Chapter No. 2
Question
From discipline of _____________ we have the tools and techniques to investigate the human mind and ways to represent the resulting theories.

Computer Science
Biology
Mathematics
Psychology
Answer: 4 Chapter No. 3
Question
From discipline of _____________ we have information about the network structure of a human brain and all the theories on functionalities of different human organs.

Mathematics
Biology
Computer Science
Psychology
Answer: 2 Chapter No. 3
Question
Which of the following disciplines provides us with the theories of structure and meaning of language?

Linguistic
Philosophy
Biology
Psychology
Answer: 1 Chapter No. 3
Question
Hit and trial is a classical approach to solve the ___________ problem easily.

Trivial
Medium
All of the given
None of the given
Answer: 1 Chapter No. 4
Question
__________ is a Classical way of problem solving.

GA
Generate and Test
Reasoning
None of the given
Answer: 2 Chapter No. 4
Question
The traveling inside a solution space requires something called as __________.

Problem Statement
Operands
Operators
Solution Space
Answer: 3 Chapter No. 4
Question
Some essential components of problem solving are Problem statement, ________, Solution space and Operators.

Complex State
Initial State
Intermediate State
Goal State
Answer: 4 Chapter No. 4
Question
By getting grips on _________ that deal with searching techniques in graphs and trees, problem solving can be performed in an efficient manner.

Pseudocode
Algorithms
Charts
Graphs
Answer: 2 Chapter No. 5
Question
In Optimal Path searches we try to find the _________ solution.

Least
Best
Last but not the Least
None of the given
Answer: 2 Chapter No. 5
Question
Most of the solution spaces for problems can be represented in _______.

Trees
Demos
Graphs
None of the given
Answer: 3 Chapter No. 5
Question
We use graphs to represent problems and their solution spaces.

True
False
Answer: 1 Chapter No. 5
Question
Every graph can be converted into a tree.

True
False
Answer: 1 Chapter No. 5
Question
Most of the solution spaces for problems can be represented in a ___________.

Graph
Table
Demo
None of the above
Answer: 1 Chapter No. 5
Question
Procedures that search the solution space in an uninformed manner are usually costly with respect to _________.

Time
Space
Time and space both
All of the given
Answer: 3 Chapter No. 6
Question
In DFS, node with the largest value of height will be at Priority ________.

Maximum
Minimum
Zero
Least
Answer: 1 Chapter No. 7
Question
In Depth First Search the node with the largest value of height will be at the ___________ priority to be picked.

Minimum
Maximum
Zero
Both minimum and maximum
Answer: 2 Chapter No. 7
Question
In Breadth First Search the node with the largest value of height will be at the _________ priority to be picked.

Zero
Minimum
Maximum
None of the given
Answer: 3 Chapter No. 7
Question
Breadth-First Search checks all paths of a given length before moving on to any longer paths.

True
False
Answer: 2 Chapter No. 7
Question
Breadth-first search is a good idea when you are confident that the branching factor is _________.

Extremely small
Small
Medium
Large
Answer: 2 Chapter No. 7
Question
The foothill problem occurs whenever there are________ peaks.

High
Secondary
Primary
Deep
Answer: 2 Chapter No. 8
Question
Which one of the problems is more subtle, and consequently, is more frustrating?

Foothill problem
Plateau
Ridge
Box
Answer: 3 Chapter No. 8
Question
The paths founded by Best First search are likely to be _________ than those found with other methods.

Longer
Shorter
Both of the given
None of the given
Answer: 2 Chapter No. 8
Question
Best First Search is a greedy approach.

True
False
Answer: 1 Chapter No. 8
Question
In Adversarial search there may occur such a scenario where two opponents also called ___________ are searching for a goal.

Adversaries
Friend
Players
Intruders
Answer: 1 Chapter No. 9
Question
We can get optimal solution given some parameters using Genetic Algorithm.

True
False
Answer: 1 Chapter No. 11
Question
Genetic algorithm uses evolutionary techniques, based on function optimization and artificial intelligence, to develop a solution.

True
False
Answer: 1 Chapter No. 11
Question
In Basic Genetic Algorithm the term mutation refers to a small random ________.

Number
Change
Operator
Operand
Answer: 2 Chapter No. 11
Question
Genetic Algorithms is a search method in which multiple search paths are followed in _______.

Series
Parallel
Sequential
None of the given
Answer: 2 Chapter No. 11
Question
A function by which we can tell which board position is nearer to our goal is called _________.

Alternative function
Recursive function
Best function
Fitness function
Answer: 4 Chapter No. 12
Question
What is the correct order for solving a problem using GA
I. Choose the best individuals from the population for crossover
II. Choose initial population
III. Evaluate the fitness of each individual

I,II,III
I,III,II
II,I,III
II,III,I
Answer: 4 Chapter No. 12
Question
Mutation can be as simple as just flipping a bit at random or any number of bits.

True
False
Answer: 1 Chapter No. 12
Question
In GA, the random process is repeated until an individual with required _________ level is found.

Higher
Lower
Fitness
Logical
Answer: 3 Chapter No. 13
Question
A function by which we can tell which board position is nearer to our goal is called.

Alternative function
Recursive function
Best function
Fitness function
Answer: 4 Chapter No. 13
Question
An AI system must form a meaningful and useful __________ of the internal information.

Representation
Execution
Learning
Planning
Answer: 1 Chapter No. 14
Question
An AI system has a ____________ component that allows the system to get information from its environment.

Planning
Perception
Learning
Execution
Answer: 2 Chapter No. 14
Question
In the worst case of semantic network, we may need to traverse the entire network and then discover that the requested info ________.

Does not exist
Exists
Is incorrect
Is correct
Answer: 1 Chapter No. 15
Question
A proposition is the statement of a _________.

Equation
Action
Theorem
Fact
Answer: 4 Chapter No. 15
Question
Semantic networks are graphs, with nodes representing _________ and arcs representing _________ between objects.

distance, relationships
objects, distance
relationships, distance
objects, relationships
Answer: 4 Chapter No. 15
Question
A statement in conjunctive normal form (CNF) consists of _________.

ANDs of Ors.
ANDs
Ors
Ors of ANDs
Answer: 1 Chapter No. 16
Question
__________ is the process of deriving logical conclusions from given facts.

Representation
Execution
Reasoning
Planning
Answer: 3 Chapter No. 16
Question
In the statement “IF A THEN B”, A is called

Antecedent
Consequent
Answer: 1 Chapter No. 16
Question
__________ reasoning is based on forming, or inducing a ‘generalization’ from a limited set of observations.

Deductive
Abductive
Inductive
Analogical
Answer: 3 Chapter No. 16
Question
An ___________ is “A computer program designed to model the problem solving ability of a human expert”.

Expert system
Intelligent System
Echo System
Energy System
Answer: 1 Chapter No. 18
Question
Another expert system named __________ was developed by Digital Equipment Corporation, as a computer configuration assistant.

R1/XCON
MYCIN
Dendral
R3/XCON
Answer: 1 Chapter No. 18
Question
An expert system may replace the expert or assist the expert.

True
False
Answer: 1 Chapter No. 18
Question
Conventional programming focuses on _______, while ES programming focuses on ________.

Solution, Problem
Problem, Solution
Problem, Expert
Solution, Expert
Answer: 1 Chapter No. 20
Question
In backward chaining terminology, the hypothesis to prove is called the ________.

Proof
Goal
Plan
None of the given
Answer: 2 Chapter No. 21

Source

Question # 1 of 10 ( Start time: 08:34:53 PM ) Total Marks: 1

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

Select correct option:

Equal

Greater

Less

None of the given

Question # 2 of 10 ( Start time: 08:35:22 PM ) Total Marks: 1

Measure of the effectiveness of an attribute in classifying the training data is called.

Select correct option:

Information Gain

Measure Gain

Information Goal

None of the given

Question # 3 of 10 ( Start time: 08:36:15 PM ) Total Marks: 1

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

Select correct option:

True

False

Question # 4 of 10 ( Start time: 08:37:03 PM ) Total Marks: 1

The brain is a collection of about 100 ________ interconnected neurons.

Select correct option:

Million

Billion

Trillion

None of the given

Question # 5 of 10 ( Start time: 08:37:52 PM ) Total Marks: 1

Hypothesis space uses the ________________ of the attributes.

Select correct option:

Conjunctions (AND)

Disjunctions (OR)

Negation (NOR)

None of the given

Question # 6 of 10 ( Start time: 08:38:44 PM ) Total Marks: 1

Aggregation only occurs once for each output variable, just after the fifth and final step, defuzzification.

Select correct option:

True

False

Question # 7 of 10 ( Start time: 08:39:48 PM ) Total Marks: 1

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

Select correct option:

Solution

Problem

Knowledge

None of the given

Question # 8 of 10 ( Start time: 08:40:32 PM ) Total Marks: 1

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

Select correct option:

Aggregation

Fuzzification

Implication

None of the given

Question # 9 of 10 ( Start time: 08:41:22 PM ) Total Marks: 1

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

Select correct option:

H

I

J

K

Question # 10 of 10 ( Start time: 08:42:19 PM ) Total Marks: 1

A single Perceptron simply draws a line, which is a hyper plane when the data is _____ than 2 dimensional.

Select correct option:

More

Less

Equal

None of the given

Quiz-2

Question # 1 of 10 ( Start time: 08:44:17 PM ) Total Marks: 1

Complex problems usually have well-defined steps

Select correct option:

True

False

Question # 2 of 10 ( Start time: 08:45:47 PM ) Total Marks: 1

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

Select correct option:

Aggregation

Fuzzification

Implication

None of the given

Question # 3 of 10 ( Start time: 08:46:05 PM ) Total Marks: 1

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

Select correct option:

H

I

J

K

Question # 4 of 10 ( Start time: 08:46:19 PM ) Total Marks: 1

Choose the fields in which Fuzzy inference systems have been successfully applied:

Select correct option:

automatic control

data classification

decision analysis

All of the given

Question # 5 of 10 ( Start time: 08:47:13 PM ) Total Marks: 1

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

Select correct option:

Solution

Problem

Knowledge

None of the given

Question # 6 of 10 ( Start time: 08:47:30 PM ) Total Marks: 1

_________ is the process of formulating the mapping from a given input to an output using Fuzzy logic.

Select correct option:

FIZ

FIS

FOS

None of the given

Question # 7 of 10 ( Start time: 08:48:11 PM ) Total Marks: 1

The input of the aggregation process is the list of truncated output functions returned by the _________ process for each rule.

Select correct option:

Truncation

Implication

Aggregation

None of the given

Question # 8 of 10 ( Start time: 08:49:09 PM ) Total Marks: 1

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

Select correct option:

1

2

3

4

Question # 9 of 10 ( Start time: 08:49:37 PM ) Total Marks: 1

Fuzzy inference systems (FIS) are NOT associated with a number of names.

Select correct option:

True

False

Question # 10 of 10 ( Start time: 08:50:16 PM ) Total Marks: 1

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

Select correct option:

Existing

Inductive

Deductive

None of the given

Quiz-3

1-Artificial Neural Networks is a new learning paradigm which takes its roots from _________ inspired approach to learning.

Biology

2- In Candidate-Elimination algorithm version space is represented by two sets named:

G and S

3-Interactive Dichotomizer uses a special function ________, to evaluate the gain information of each attribute.

GAIN

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

Equal

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

H

6- Entropy characterizes the purity/impurity of an arbitrary collection of examples.

True

7- ________ stands for interactive dichotomizer.

ID

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

True

9-Aggregation only occurs once for each output variable, just after the fifth and final step, defuzzification.

False

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

Aggregation

Quiz-4

1- Fuzzy inference systems are not associated with number of names:

a. True
b. False

2- A single layer perceptron can not perform pattern classification on linearly separable patterns

a. True
b. False

3- Hypothesis space uses the ___________________of the attributes

Conjunction(AND)
Disjunction(OR)
Negation(NOR)
None of given

4- Machine learning is prerequisite for any mature program of artificial intelligence

a. True
b. False

5- ____is process of formulation the mapping from given input to output using fuzzy logic

FIZ
FIS
FOS
None of given

6- Many machine learning systems are classifiers

True
False

7- The brain is collection of about 100 ____ interconnected neurons

Million
Billion
Trillion
None of given

Quiz -5

Question # 2 of 10 ( Start time: 05:56:51 PM ) Total Marks: 1

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

Select correct option:

a. 1
b. 2
c. 0
d. None

Question # 3 of 10 ( Start time: 05:58:07 PM ) Total Marks: 1

The tractable problems are further divided into structured and ________ problems

Select correct option:

a. Complex

Question # 4 of 10 ( Start time: 05:59:02 PM ) Total Marks: 1

The role of tester is often called the critic

Select correct option:

b. True

Question # 5 of 10 ( Start time: 06:00:07 PM ) Total Marks: 1

Which one is NOT the phase of machine learning:

Select correct option:

c. validation
d. training
e. application
f. none of given

Question # 6 of 10 ( Start time: 06:01:05 PM ) Total Marks: 1

The Candidate-Elimination algorithm represents the ____________

Select correct option:

a. version space

Question # 7 of 10 ( Start time: 06:02:36 PM ) Total Marks: 1

Mamdani’s method was among the first _____________ built using fuzzy set theory.

Select correct option:

b. control systems

Question # 10 of 10 ( Start time: 06:03:42 PM ) Total Marks: 1

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

Select correct option:

c. deductive

CS508 Solution Idea # 3

package main;

import java.util.Scanner;

public class Main {

public static void main(String[] args) {

System.out.println("My ID is bcxxxxxxxxx");
System.out.println("Enter the Input Paragraph");
Scanner s = new Scanner(System.in);
String input = s.nextLine();

System.out.println("Enter the Input Word");
String word = s.nextLine();

String str = "";
int occurance = 0;
for(char c : input.toCharArray()) {
str += c;
if(str.length() == word.length()) {
if(str.equals(word)) {
occurance ++;
}

str = str.substring(1);
}
}

if(occurance > 0)
System.out.println("The word is exist");
else 
System.out.println("The word is not exist");
}
}

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