Deneme Sınavı Soruları

35

28

7

11

14

by setting two of the variables to -1 and solving the equations for the remaining two 

by setting only one  of the variables to zero and solving the equations for the remaining one 

by setting two  of the variables to zero and solving the equations for the remaining two 

by setting two  of the variables to 1 and solving the equations for the remaining two 

by setting two of the variables to 2 and solving the equations for the remaining two 

18

20

24

30

35

(1): m + n – 1

(2): m + n

(1): m + n – 2n

(2): m + n – 1

(1): m + n – 2

(2): m + n

(1): m + n – 2

(2): m + n – 1

(1): m + n

(2): m + n – 1

The variables that are greater than 1

The variables that are less than zero 

The variables that are set to 1

The variables that are greater than zero

The variables that are set to zero

Recurrent state

Transient state

Aperiodic state

Absorbing state

Periodic state

Determining a basis / Checking the optimality of the solution / Iterating to a new basic feasible solution if needed 

 Checking the optimality of the solution /Determining a basis / Iterating to a new basic feasible solution if needed 

Checking the optimality of the solution / Introducing the initial basic feasible solution / Iterating to a new basic feasible solution if needed 

Introducing the initial basic feasible solution / Iterating to a new basic feasible solution if needed / Checking the optimality of the solution.

Introducing the initial basic feasible solution / Checking the optimality of the solution / Iterating to a new basic feasible solution if needed.

F

A

A, C

F, E

E, C, B

A transportation problem is a linear optimization problem, which seeks to minimize the total costs of shipment of items from certain origins to a number of destinations while fulfilling the requirements of destinations and emptying the origins.

Some transportation problems may be less restrictive; the total supply may exceed aggregate demand.

This model has the origin locations from where a single unit can be transported to a dedicated destination, and vice versa—the model has the destinations to which a single unit is sent solely from one origin location.

The decision variables of this problem are the amounts to be shipped for each origin-destination pairs.

A transportation problem has a feasible solution only if the total availability meets all the requirements.

II

I

III

both I and II

both II and III

Matching Coins

Battle of the Sexes

Hawk-Dove

Rock, Paper, Scissors

The Prisoner’s Dilemma

I and II

III and IV

I, II and III

I, III and IV

II, III and IV

Decision making under certainty

Decision making under uncertainty

Decision making under risk

Decision making under stress

Decision making under pressure

Expected value of perfect information.

Expected monetary value.

Expected opportunity cost.

Expected payoff.

Expected marginal benefit.

Decision making under certainty

Decision making under uncertainty

Decision making under risk

Decision making under stress

Decision making under pressure

I and II

III and IV

II, III and IV

I, II, IV and V

I, II, III, IV and V

Problem definition.

Implementing the solution.

Making a prediction based on some hypothesis.

Model construction.

System analysis for the problem and data gathering.

Decision Making Under Certainty

Decision Making Under Risk

Decision Making Process

Decision Making Under Uncertainty

Scarce Source