**Q. When we say that the boundary is crisp**

A: Distinguish two regions clearly

B: Cannot Distinguish two regions clearly

C: Collection of ordered pairs

D: None of these

Distinguish two regions clearly

**Q. In computing the output is called as**

A: Consequent

B: Outfeed

C: Anticedents

D: Premise

Consequent

**Q. Fuzzy logic is a form of **

A: two valued logic

B: crisp set logic

C: many value logic

D: binary set logic

c

many value logic

**Q. Control actions while computing should be**

A: Ambiguous

B: Unambioguos

C: Inaccurate

D: None of these

Unambioguos

**Q. Core of soft computing is **

A: Fuzzy computing,neural computing,Genetic algorithm

B: Fuzzy network and artificial intelligence

C: Neural Science

D: Genetic Science

Fuzzy computing,neural computing,Genetic algorithm

**Q. Hard computing performs what type of computation**

A: Sequential

B: Parallel

C: approxiamate

D: both a and b

Sequential

**Q. Who iniated idea of soft computing**

A: charles darwin

B: rich and berg

C: mc culloch

D: lofti a zadeh

lofti a zadeh

**Q. Soft computing is based on **

A: fuzzy logic

B: neural science

C: crisp software

D: binary logic

fuzzy logic

**Q. In soft computing the problems,algorithms can be**

A: non adaptive

B: adaptive

C: static

D: all of the above

adaptive

**Q. Fuzzy Computing **

A: mimics human behaviour

B: deals with inprecise,probablistic

C: exact information

D: both a and b

both a and b

**Q. Hard computing is also called as**

A: evolutionary computing

B: conventional computing

C: non conventional computing

D: probablistic computing

conventional computing

**Q. Which computing produces accurate results**

A: soft computing

B: hard computing

C: both a and b

D: none of the above

hard computing

**Q. Neural network computing **

A: mimics human behaviour

B: information processing paradigm

C: both a and b

D: none of the above

both a and b

**Q. Artificial neural network is used for**

A: pattern recognition

B: classification

C: clustering

D: all of the above

all of the above

**Q. How does blind search differ from optimization**

A: Blind search represent a guided approach while optimization is unguided

B: Blind search usually does not conclude in one step like some optimization methods.

C: Blind search cannot result in optimal solution whereas optimization method do

D: none of these

Blind search usually does not conclude in one step like some optimization methods.

**Q. In modeling,an optimal solution is understood to be**

A: a solution that can only be determined by an exhaustive enumeration testing of alternatives

B: a solution found in the least possible time and using the least possible computing resources

C: a solution that is the best based on criteria defined in the design phase

D: a solution that requires an algorithm for the determination

a solution that is the best based on criteria defined in the design phase

**Q. When is a complete enumeration of solution used?**

A: When a solution that is “good enough” is fine and good heuristics are available

B: When there is enough time and computational power available

C: When the modeler requires a guided approach to problem solving

D: When there are an infinite number of solution to be searched

When there is enough time and computational power available

**Q. All of the follwing are true about heuristics EXCEPT**

A: heuristics are used when the modeler requires a guided approach to problem solving

B: heuristics are used when a solution that is “good enough” is sought

C: heuristics are used when there is abundant time and computational power

D: heuristics are rules of good judgement

heuristics are used when there is abundant time and computational power

**Q. Which approach is most suited to structured problem with little uncertainity**

A: Simuation

B: human intuition

C: Optimization

D: genetic algorithm

Optimization

**Q. Genetic algorithm belong to the family of method in the**

A: artifical intelligence area

B: optimization area

C: complete enumeration family of methods

D: Non computer based isolation area

artifical intelligence area

**Q. What does the 0 membership value means in the set**

A: the object is fully inside the set

B: the object is not in the set

C: the object is partially present in the set

D: none of the above

the object is not in the set

**Q. The union of two fuzzy sets is the_______of each element from two sets**

A: maximum

B: minimum

C: equal to

D: not equal to

maximum

**Q. The process of fuzzy interference system involes**

A: membership functions

B: fuzzy logic operators

C: if-then rules

D: all the above

d

all the above

**Q. What does a fuzzifier do **

A: coverts crisp input to linguistic variables

B: coverts crisp ouput to linguistic variables

C: coverts fuzzy input to linguistic variables

D: coverts fuzzy output to linguistic variables

coverts crisp input to linguistic variables

**Q. Which of the following is not defuzzifier method**

A: centroid of area

B: mean of maximum

C: largest of maximum

D: hypotenuse of triangle

hypotenuse of triangle

**Q. Which of the following is/are type of fuzzy interference method**

A: mamdani

B: sugeno

C: rivest

D: only a and b

only a and b

**Q. A Fuzzy rule can have **

A: multiple part of antecedent,only single part of consequent

B: only single part of antecedent,mutiple part of consequent

C: multiple part of antecedent,multiple part of consequent

D: only single part of antecedent,only single part of consequent

multiple part of antecedent,multiple part of consequent

**Q.The a cut of a fuzzy set A is a crisp set defined by :-**

A: {x|Ua(x)>a}

B: {x|Ua(x)>=a}

C: {x|Ua(x)

{x|Ua(x)>=a}

**Q.The bandwidth(A) in a fuzzy set is given by**

A: (A)=|x1*x2|

B: (A)=|x1+x2|

C: (A)=|x1-x2|

D: (A)=|x1/x2|

(A)=|x1-x2|

**Q.The intersection of two fuzzy sets is the_______of each element from two sets**

A: maximum

B: minimum

C: equal to

D: not equal to

minimum

**Q. A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the complement of A?**

A: {0/a,0.7/b,0.8/c,0.2/d,1/e}

B: {0/a,0.9/b,0.7/c,0.2/d,1/e}

C: {0.8/a,0.7/b,0.8/c,0.7/d,1/e}

D: {0/a,0.7/b,0.8/c,0.9/d,1/e}

{0/a,0.7/b,0.8/c,0.2/d,1/e}

**Q. A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the union of AUB?**

A: {1/a,0.9/b,0.1/c,0.5/d,0.2/e}

B: {0.8/a,0.9/b,0.2/c,0.5/d,0.2/e}

C: {1/a,0.9/b,0.2/c,0.8/d,0.2/e}

D: {1/a,0.9/b,0.2/c,0.8/d,0.8/e}

{1/a,0.9/b,0.2/c,0.8/d,0.2/e}

**Q. A={1/a,0.3/b,0.2/c,0.8/d,0/e} B={0.6/a,0.9/b,0.1/c,0.3/d,0.2/e} What will be the intersection of A and B ?**

A: {0.6/a,0.3/b,0.1/c,0.3/d,0/e}

B: {0.6/a,0.8/b,0.1/c,0.3/d,0/e}

C: {0.6/a,0.3/b,0.1/c,0.5/d,0/e}

D: {0.6/a,0.3/b,0.2/c,0.3/d,1/e}

{0.6/a,0.3/b,0.1/c,0.3/d,0/e}

**Q. What denotes the support(A) in a fuzzy set?**

A: {x|Ua(x)>0}

B: {x|Ua(x)<0}

C: {x|Ua(x)<=0}

D: {x|Ua(x)<0.5}

{x|Ua(x)>0}

**Q. What denotes the core(A) in a fuzzy set?**

A: {x|Ua(x)>0}

B: {x|Ua(x)=1}

C: {x|Ua(x)>=0.5}

D: {x|Ua(x)>0.8}

{x|Ua(x)=1}

**Q. Fuzzy logic deals with which of the following**

A: fuzzy set

B: fuzzy algebra

C: both a and b

D: none of the above

both a and b

**Q. which of the following is a sequence of steps taken in designning a fuzy logic machine**

A: fuzzification->Rule Evaluation->Deffuzification

B: deffuzification->rule evaluation->fuzzification

C: rule evaluation>fuzzification>deffuzification

D: rule evaluation->defuzzification->fuzzification

fuzzification->Rule Evaluation->Deffuzification

**Q. can a crisp set be a fuzzy set? **

A: no

B: yes

C: depends

D: all of the above

yes

**Q. Genetic algorithm belong to the family of method in the**

A: artifical intelligence area

B: optimization area

C: complete enumeration family of methods

D: Non computer based isolation area

artifical intelligence area

**Q. All of the follwing are suitable problem for genetic algorithm EXCEPT**

A: pattern recognization

B: simulation of biological models

C: simple optimization with few variables

D: dynamic process control

simple optimization with few variables

**Q. Genetic algorithms are example of**

A: heuristic

B: Evolutionary algorithm

C: ACO

D: PSO

Evolutionary algorithm

**Q. mutation is applied on __candidates.**

A: one

B: two

C: more than two

D: noneof these

one

**Q. recombination is applied on __candidates.**

A: one

B: two

C: more than two

D: none of these

two

**Q. LCS belongs to ___ based methods?**

A: rule based learning

B: genetic learning

C: both a and b

D: none of these

rule based learning

**Q. Survival is ___ approach. **

A: deteministic

B: non deterministic

C: semi deterministic

D: none of these

deteministic

**Q. Evolutionary algorithms are a ___ based approach**

A: heuristic

B: metaheuristic

C: both a and b

D: noneof these

heuristic

**Q. Tabu search is an example of ? **

A: heuristic

B: Evolutionary algorithm

C: ACO

D: PSO

heuristic

**Q. Idea of genetic algorithm came from**

A: machines

B: Birds

C: ACO

D: genetics

genetics

**Q. Chromosomes are actually ? **

A: line representation

B: String representation

C: Circular representation

D: all of these

String representation

**Q. what are the parameters that affect GA are/is**

A: selection process

B: initial population

C: both a and b

D: none of these

both a and b

**Q. Evolutionary programming was developed by**

A: Fredrik

B: Fodgel

C: Frank

D: Flin

Fodgel

**Q. Evolution Strategies is developed with**

A: selection

B: mutation

C: a population of size one

D: all of these

all of these

**Q. Evolution Strategies typically uses**

A: real-valued vector representations

B: vector representation

C: time based representation

D: none of these

real-valued vector representations

**Q. in ES survival is **

A: indeterministic

B: deterministic

C: both a and b

D: none of these

none of these

**Q. What is the first step in Evolutionary algorithm**

A: Termination

B: selection

C: Recombination

D: Initialization

Initialization

**Q. Elements of ES are/is **

A: Parent population size

B: Survival population size

C: both a and b

D: none of these

both a and b

**Q. What are different types of crossover**

A: discrete and intermedium

B: discrete and continuous

C: continuous and intemedium

D: none of these

discrete and intermedium

**Q. _________cannot easily be transferred from one problem domain to another**

A: optimal solution

B: analytical solution

C: simulation solution

D: none of these

simulation solution

**Q. Discrete events and agent based models are usuallly used for_____________.**

A: middle or low level of abstractions

B: high level of abstraction

C: very high level of abstraction

D: none of these

middle or low level of abstractions

**Q. _____does not usually allow decision makers to see how a solution to a ___________envolves over time nor can decision makers interact with it.**

A: Simulation ,Complex problem

B: Simulation,Easy problem

C: Genetics,Complex problem

D: Genetics,Easy problem

Simulation ,Complex problem

**Q. EC stands for? **

A: Evolutionary Computatons

B: Evolutionary computer

C: Electronic computations

D: none of these

Evolutionary Computatons