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Busıness Decısıon Models (ENG)

Deneme Sınavı Soruları

  • 20 soru
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  1. 1

    Which term completes the blank in the following sentence best? A ........... shows the gains and losses that result from a combination of players’ strategy choices.

  2. 2

    Which term is described by “decision to choose a course of action for each play in accordance with some particular probability”?

  3. 3

    Which of the followings considers the respective costs of the variables so as to find a basic feasible solution that approximates the optimum solution more?

  4. 4

    "The _________ interchanges costs and constraints of the primal model, and converts the objective from maximization to minimization." Fill in the blank with the correct concept.

  5. 5

    Which of the following is true regarding artificial variables?

  6. 6

    question 10

    What is the pivot number in the tableau above?

  7. 7

    I. Check the optimality of the basic feasible solution as the simplex method does. If it is not, optimal, then move to the next step. If optimal, stop.

    II. Iterate to the next basic feasible solution by determining the entering and leaving variable using the rate of improvement on the objective value.

    III. Determine a basic feasible solution to initiate.

    Which of the following is the correct order of the steps of solution of a transportation model?

  8. 8

    question 9

    What is the pivot number in the tableau above?

  9. 9

    Which of the following statements is not true in discrete- time Markov chains?

  10. 10
    1. Identify the optimal solution by the coordinates of the zero-valued elements in the present matrix.
    2. 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.
    3. 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.
    4. Identify the smallest value except for the ones in masked out rows and columns. This value is then subtracted from the values of unmasked rows and columns and, added to the intersections of masked out rows and columns. Return to Step 3.
    5. 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.
    6. Mask the columns and rows out that have a zero value. The number of masked out rows and columns must be at a minimum.

    Considering the items above, which of the followings does include the right phases of the Hungarian Method?

  11. 11

    Which of the following refers to the case in which the maximin value of row player is equal to the minimax value of column player in a matrix game?

  12. 12

    What are the variables that are set to zero called?

  13. 13

    ⌈2 4 5 0⌉

    |0 1 -1 3|

    ⌊2 6 7 1⌋

    What is the upper value of this matrix game ?

  14. 14

    Bayes’ theorem provides a way for _____ prior probabilities with probabilities obtained by other sources; revised or posterior probabilities.

    Which of the following best fills the blank above?

  15. 15

    Once the decision problem has been identified, what will be the next step?

  16. 16

    "When the decision maker does not know the probabilities of occurrence of events, the
    decision-making is called ________." With which of the following should this be filled in?

  17. 17

    If decision maker has a pessimistic approach, the Criterion of Pessimism can be used. According to this criterion, the decision maker thinks that the ------- outcome for each alternative will be realized.

    Which of the below is appropriate for the blank in the quoted sentence?

  18. 18

    What is the expected value of perfect information (EVPI)?

  19. 19

    What is the decision situation in which the decision maker knows the probability of occurrence of each state of nature?

  20. 20

    Which of the followings are crucial for a basic decision making process?

    1. Alternatives
    2. Objective
    3. Outcomes of the alternatives
    4. Past decisions
    5. Occurrence possibilities of the objective
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