Decision Making Under Uncertainty
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Transcript Decision Making Under Uncertainty
Decision Making Under
Uncertainty
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Two Basic Questions
• What are the possible actions (alternatives)
for this problem?
• What is it about the future that affects the
desirability of each action?
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Terms
• Descriptions of the future: states of nature
• The state of nature items are outcomes.
– The key distinction between an action and a
state of nature is that the action is taken is under
your control, whereas the state of nature that
occurs is strictly a matter of chance.
• The payoff is the result of an action (A) an
a state of nature (S)
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Payoff Table
Action
A1
A2
A3
Ak
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
11
21
31
State of Nature
S1
S2 S3 ……. Sn
12 13 …… 1n
22 23 …… 2n
32 33 …… 3n
k1
k2
k3 …… kn
Conservative (Minimax) Strategy
• The action chosen is that action that under
the worst conditions produces the lowest
“loss.”
• The opportunity loss, Lij, is the difference
between the payoff for action I and the
payoff for the action that would have the
largest payoff under the state of nature j.
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Minimax Strategy
• Construct an opportunity loss table by using
the maximum payoff for each state of nature.
• Determine the maximum opportunity loss for
each action.
• Find the minimum value of the opportunity
losses found in step 2; the corresponding
action is the one selected.
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
The Gambler (Maximax)
Strategy
The Maximax strategy is to choose that
action having the largest possible payoff.
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
The Strategist
(Maximizing the Expected Payoff)
• This strategy assigns a probability to each
state of nature.
• The expected payoff of each action is
determined.
• The action chosen is that action that
produces the largest expected payoff
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Utility
• Utility combines the decision maker’s
attitude toward the payoff and the
corresponding risk of each alternative.
• The utility value of a particular outcome is
used to measure both the attractiveness and
the risk associated with this dollar amount.
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Utility Value
• Step1: Assign a utility value of 0 to the
smallest payoff amount (min ) and a value
of 100 to the largest (max ).
• Step 2: The utility value for any payoff
under consideration is found by using:
U(ij) = P * 100
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Utility
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Decision Trees and Bayes’ Rule
• A decision tree graphically represents the
entire decision problem, including:
– The possible actions facing the decision maker.
– The outcomes that can occur.
– The relationships between the actions and
outcomes.
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Decision Trees
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Decision Trees and Bayes’ Rule
• Bayes’ rule allows you to revise a
probability in light of certain information
that is provided.
P(Ei and B)
ith path
P(Ei B)
P( B)
sum of paths
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Use of Bayes’ Rule
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Deriving the Posterior
Probabilities
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Resulting Decision Tree
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing
Deriving the Posterior
Probabilities
Introduction to Business Statistics, 5e
Kvanli/Guynes/Pavur
(c)2000 South-Western College
Publishing