Busıness Decısıon Models Final 2. Deneme Sınavı

Toplam 20 Soru
PAYLAŞ:

1.Soru

?2 4 5 0?

|0 1 -1 3|

?2 6 7 1?

What is the upper value of this matrix game ?


2

6

7

3

5


2.Soru

Which of the followings are crucial elements for a stochastic processes?

  1. Markov chain
  2. Discrete time
  3. Continous time
  4. Probability
  5. Arithmetic events


I-II-III-IV

I-II-IV-V

I-III-IV-V

II-III-IV-V

I-II-III-IV-V


3.Soru

Which one below is something that a ration player never use?


Pure strategy

Saddle point

Mixxed strategy

Dominated strategy

Pay-off


4.Soru

?-1 -2?

|-6 -3|

?-4 1?

What is the sum of the lower and the upper values of this matrix game ?


-10

0

-5

-3

-9


5.Soru

Min Z = x1 + 3 x2 + 2 x3 + 5 x4 + 4 x5 is the objective function of a linear program. The initial basic feasible solution for this program is (0, 0, 0, 0, 0). Which of the following is the 1st variable that enters to basic variables ?


x2

x4

x1

x5

x3


6.Soru

When does a transition matrix is called regular?


When there is % 50 probability.

If some power of the matrix includes all negative entries.

If some power of the matrix includes all positive entries.

When zeros occur in the identical places.

When the probability is %100 percent.


7.Soru

The solution of a transportation model follows three steps to reach the optimum. Which of the options include these three steps in the correct order?


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.


8.Soru

Which of the following can not be one of the steps of Hungarian Method?


Identify the smallest value of each row for the cost matrix of the assignment problem. Subtract each row’s smallest value from all the costs in the respective row.

Identify the smallest value of each column for this altered matrix. Subtract each column’s smallest value from all the costs in the respective column

Mask the columns and rows out that have a zero value. The number of masked out rows and columns must be at a maximum.

If the number of masked out rows and columns is equal to n, then the optimum can be obtained from the present matrix; move on to the next step. If not, skip to Step 6.

Identify the optimal solution by the coordinates of the zero-valued elements in the present matrix.


9.Soru

Four workers will be assigned to five machines in a manufacturing plant. The labor costs of the workers on the machines are given in TL below.

asignment problem

In the solution of the above assignment problem carried out with the Hungarian Algorithm, and the following table was reached in the last step.


What is the objective value of the optimum solution for this problem?


100

110

150

170

430


10.Soru

When given a one-step transition matrix of a process, if the matrix is multiplied by 3 times with itself, what the result shows?


Three-step transition matrix of the process

Four-step transition matrix of the process

Nine-step transition matrix of the process

Same transition matrix of the process

Initial transition matrix of the process


11.Soru

Which property of dual model refers that the objective value of Z and the objective value of W are equal only if the basic feasible solution is the optimal for the primal as well as the dual model?


Maximum  duality property

Minimum duality property

Weak duality property

Strong duality property

Complementary solutions property


12.Soru

Which one of the following is true for an assignment model?


The value of the decision variables must be non-negative

The value of the decision variables are greater than 1

The number of the origins is equal to the destinations

Cannot be solved by the simplex algorithm

The objective function is a maximization


13.Soru

I.There should be at least one player

II.Each player’s chosen strategies determine the outcome of the game

III.Each player acts rationally to maximize his/her gains

Which one/ones above is/are correct about games?


Only I

I-II

I-III

II-III

I-II-III


14.Soru

According to the matrix, which of the following is the recurrent?


a, d

b, c

b, d 

a, b

c, d


15.Soru

Which of the following is not true for the method of Minimax Regret?


This method is based on opportunity loss

This method proposed that maximum regret be minimized by choosing the best pay off for each event.

This method allows the decision maker to use these two approaches together. There is a coefficient indicating the level of optimism of the decision maker. This coefficient is symbolized by alpha (α).

The regret of each event for each alternative is calculated and regret matrix or opportunity loss table is created. This table shows the losses to be incurred if the alternative is not selected for the best outcomes of each event.

In this method, regardless of the objective function, the smallest value is always selected from the regret matrix.


16.Soru

In which game two players show simultaneously either one finger or two fingers?


The Prisoner’s Dilemma

Matching Coins

Hawk-Dove

The Odds and Evens

Rock, Paper, Scissors


17.Soru

If two corner-point feasible solutions are connected by a line segment, these corner-point feasible solutions are ______.

Which of the following completes the statement above? 


equal

adjacent

slack variables

surplus

optimal


18.Soru

_____ allows checking for the optimality of the primal solution by inspecting the feasibility of its dual solution.

Which of the following best fills the blank above?


Strong duality property

The dual model

balanced transportation model

complementary solutions property

weak duality property


19.Soru

    States of Nature

      S1(0.3)  S2(0.5)  S3(0.2)

A1   50        110         30

A2  100         60         50

A3   70          90          60

What is the maximum Expected Opportunity Loss of the TL gain strategy table above ?


27

23

21

25

19


20.Soru

Which term is described by “unconditional decision always to select a particular course of action”?


Pay-off

Saddle point

Pure strategy

Mixed strategy

Pay-off Matrix