Deneme Sınavı Soruları

Modified Distribution Method

Hungarian Method

Vogel’s Approximation Method

Least-cost Method

Northwest Corner Method

Pure strategy

Saddle point

Mixxed strategy

Dominated strategy

Pay-off

Players

Strategy

Pay-off

Pay-off matrix

Prisoner's Dilemma

{2nd row, 2nd column}

{1st row, 3rd column}

{2nd row, 1st column}

{1st row, 1st column}

{2nd row, 3rd column}

by checking the feasibility of basic solution

by checking the feasibility of the dual solution

by checking the optimality of the basic solution

by checking the optimality of the dual solution

by minimizing the total transportation costs

If a Markov chain has more than one class.

If the state space S is a single communicating class.

If each state is accessible from the other.

If each state is certain to be visited again.

If there are direct transitions between states. 

-3 p + 1

-4 p + 1

-3 + p

-4 + p

-3 p

4 / 3

3 / 2

5 / 3

7 / 3

5 / 2

Test for optimality.

Iteration.

Initialization.

Tracing.

Slack.

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.

-10

0

-5

-3

-9

-6

-1

1

2

-5

100

50

90

70

110

Decision Maker

Objective

Alternatives

Outcomes

Events

I and II

II and III

I, III and IV

I, III, IV and V

I, II, III, IV and V

When the objective function is maximization, the maximum values for the alternatives are determined. The lowest of these maximum values is selected.

When the objective function is maximization, the minimum values for the alternatives are determined. The lowest of these minimum values is selected.

When the objective function is maximization, the minimum values for the alternatives are determined. The highest of these minimum values is selected.

When the objective function is minimization, the minimum values for the alternatives are determined. The smallest of these minimum values is selected.

When the objective function is minimization, the maximum values for the alternatives are determined. The highest of these maximum values is selected.

None

District 4

District 3

District 2

District 1

The manager’s perspective on events does not influence the choice decision between alternatives.

There is only one event which can be identified or measured.

Decision maker has complete information and knowledge about probability of occurrence of the events.

A firm launching a new product can be given as an example of decision making under uncertainty.

Different decision makers make identical decisions about identical decision problems.

when comparing alternatives that involve money

when the expected profit maximized 

when potential consequences multiplied 

when there is failure to select the best alternative 

when minimum expected opportunity loss is calculated