










Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
An overview of non-probabilistic decision rules, including lexicographic ordering, satisficing, maxmax payoff, maxmin payoff, minmax regret, laplace, and hurwitz principle. It covers the types of decision making environments, types of non-probabilistic decision rules, desirable properties of decision rules, and specific examples of each rule. The document also discusses the advantages and disadvantages of each rule.
Typology: Slides
1 / 18
This page cannot be seen from the preview
Don't miss anything!
222
Decision maker knows with certainty the consequences of every alternative or decision choice
Decision maker can assign the probabilities of the various outcomes
4
Values
Alternatives Attribute 1 Attribute 2 …
A
B
C
Outcomes Alternatives Outcome 1 Outcome 2 … A
B
555
If alternative A is preferred to alternative B and alternative B is preferred to alternative C, then alternative A is preferred to alternative C
The preference relation between two alternatives is unchanged if a constant is added to all entries of a column of the decision table or payoff table
The preference relation between two alternatives is unchanged if another alternative is added/deleted from the decision table or payoff table
The preference relation between two alternatives is unchanged if a column with the same value in all alternatives is added/deleted to the decision table or payoff table
777
Values
Alternatives Safety ≥Medium
Price ≤13k
Reliability ≥Medium A High $15k High
B Medium $11k Medium
C High $13k Medium
888
Outcomes
Alternatives O1 O2 O
A $1,000 $1,000 $1, B $10,000 -$7,000 $ C $5,000 $0 $ D $8,000 -$2,000 $
Maximum Payoff
$1, $10,
101010
Outcomes
Alternatives O1 O2 O3 O
A $1,000 $1,000 $1,000 $8, B $10,000 -$7,000 $500 $8, C $5,000 $0 $800 $8, D $8,000 -$2,000 $700 $8,
Maximum Payoff $8, $10, $8, $8,
111111
Outcomes
Alternatives O1 O2 O
A $1,000 $1,000 $1, B $10,000 -$7,000 $ C $5,000 $0 $ D $8,000 -$2,000 $
Minimum Payoff
$1, -$7,
131313
Outcomes
Alternatives O1 O2 O
A $1,000 $1,000 $1, B $10,000 -$7,000 $ C $5,000 $0 $ D $8,000 -$2,000 $ E -$1,000 $4,000 $
Outcomes O1 O2 O $9,000 $3,000 $ $0 $11,000 $ $5,000 $4,000 $ $2,000 $6,000 $ $11,000 $0 $1,
Maximum Regret $9, $11, $5, $6, $11,
141414
Average
$1, $1,166.
Outcomes
Alternatives O1 O2 O
A $1,000 $1,000 $1, B $10,000 -$7,000 $ C $5,000 $0 $ D $8,000 -$2,000 $
161616
Hurwicz score = Max. payoff ∙α + Min. payoff ∙(1-α)
α
Alternative A B C D 0 1000 -7000 0 - 0.1 1000 -5300 500 - 0.2 1000 -3600 1000 0 0.3 1000 -1900 1500 1000 0.4 1000 -200 2000 2000 0.5 1000 1500 2500 3000 0.6 1000 3200 3000 4000 0.7 1000 4900 3500 5000 0.8 1000 6600 4000 6000 0.9 1000 8300 4500 7000 1 1000 10000 5000 8000
Hurwicz Scores of Alternatives with Respect to α
A: Hurwicz score = 1000
B: Hurwicz score = 10000∙α + (-7000)∙(1-α) = 17000α- 7000
C: Hurwicz score = 5000∙α + 0∙(1-α) = 5000α
D: Hurwicz score = 8000∙α + (-2000) ∙(1-α) = 10000α- 2000
1717
α=0.2 α=0.4 α=5/ ≈0. When 0≤α<0.2, A is the best alternative When 0.2≤α≤0.4, C is the best alternative When 0.4≤α≤5/7, D is the best alternative When α>5/7, B is the best alternative Docsity.com