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İŞLETME KARAR MODELLERİ - Deneme Sınavı - 8

Dönem Sonu Sınavı 48431
Soru 1
5 3⌉

2 7⌋

Which of the following is the mixed strategy of the row player of the game above ?

Soru 2
1 -5⌉

|-2  3|

|-3  1|

-4 0⌋

For Player I of the game above, which of the following is the expected pay-off of choosing 3rd row ?

Soru 3
11 5   9⌉

15 7 10

What is the equilibrium pair of this matrix game ?

Soru 4
The following matrix presents a weather prediction model. The model has four states and the names of states are a=cloudy, b=rainy, c=snowy, d=sunny.

   

According to matrix, which of followings show the possibility of being a sunny day after a snowy day?

Soru 5
The following matrix presents a weather prediction model. The model has four states and the names of states are a=cloudy, b=rainy, c=snowy, d=sunny.

   

According to matrix, which of following is a true explanation?

Soru 6

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

Soru 7

According to the above transition diagram, which of the following shows the communication classes of the diagram?

Soru 8
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?

Soru 9
_____ interchanges costs and constraints of the primal model, and converts the objective from maximization to minimization.

Which of the following best fills the blank above?

Soru 10
What does weak duality property refer to?
Soru 11
_____ 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?

Soru 12
I.It has a special property that probabilities indicating how the process will evolve
in the future depending only on the present state of the process.

II.It indicates a decision to the decision maker.

III.It is used to analyse different decision situations, and the most well-known of these situations is “Brand Switching” in customer analysis.

Which one/ones above is/are correct about Markov analysis?

Soru 13
Why is the random variable identified as a function?
Soru 14
Which one below can not be given as an example for stochastic processes?
Soru 15
What are the probabilities of going from ones state to another called?
Soru 16
When does a transition matrix is called regular?
Soru 17
When does a Markov chain is considered as irreducible?
Soru 18
"It is a state that can only return to itself after a fixed number of transitions greater than 1." Which notion below belongs to the given description?
Soru 19
In which state does Markov chain lock itself once it is in it?
Soru 20
I.The chain does not stop changing.

II.The probabilities do not change with respect to time.

III. Limiting probability may converge to steady-state values that are independent of the initial state.

Which one/ones above is/are correct about "the steady-state (or limiting) behavior of a Markov chain"?