01_Decision Making under Uncertainty Flashcards

Decision Analysis

1
Q

3 Levels of Uncertainty

A

1. Decision under Certainty
- future is known and described by single scenario
- deterministic
2. Decision under Uncertainty
- multiple different scenarios for future
- probabilities are unknown
3. Decision under Risk
- multiple different scenarios for future
- probabilities are known

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2
Q

Number of goals

2 items

A
  • Single Goal: single criterion decision
  • Multiple Goals: multi-criteria decision
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3
Q

Number of Decision Makers

2 Alternatives

A
  • single decision maker (DM)
  • group decision maker
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4
Q

Time distinction

2 items

A
  • Static decision
  • Dynamic decision
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5
Q

Behaviour of Ppponent

2 Alternatives

A
  1. Game against Nature
    - randomly acting opponent
  2. Game Theory (Game against active antagonist)
    - strategically acting opponent
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6
Q

5 Decision Rules

A
  • Maximax-Rule
  • Maximin-Rule
  • Minimax-Regret-Rule
  • Hurwicz-Rule
  • Lapalce-Rule
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7
Q
  1. Dominance Criterion
  2. Efficient alternative
A

Dominance Criterion
- an action a(i) dominates another action a(j), if it generates an equal or better outcome in every scenario s(n)

Efficient alternative
- an action a(i) is efficient, if it is not dominated by another alternative

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8
Q

Exam Question

Determine the efficient actions. Motivate your answers.

practice wording

A
  • a(1) outperforms a(3) in scenario s(1); in every other scenario a(1) does not perform worse than a(3)
  • therefore a(1) dominates a(3)
  • neither a(1) nor a(2) dominate the other one respectively
  • all alternatives are efficient if
    x ∈ {11,12}
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9
Q

3 Decision Situations

depending on Level of Uncertainty

A
  1. Deterministic
  2. Uncertainty (without probabilities)
  3. Risk (with probabilities)
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10
Q

5 Characterizations of Decision Situations

A
  1. Level of Uncertainty
  2. Number of Goals
  3. Number of Decision Makers
  4. Development over Time
  5. Type of Antagonist
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11
Q

Describe the Hurwicz-Rule und the Risk Attitude reflected by this rule

A
  • Alternative which maximizes the linear combination of the maximum and minimum profit.
  • for λ = 1 the rule equals the Maximax-Rule (risk seeking decision maker)
  • for λ = 0 the rule equals the Maximin-Rule (risk averse decision maker)
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