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Decision Theory

Samuel Metcalfe ENCN371 Management English 26 cards

Cards in this deck (26)

  1. 1Aleatoric UncertaintyStatistical uncertainy, from natural randomness e.g Earthquakes, Human Behaivour etc.
  2. 2Epistemic UncertaintySystematic uncertainty that comes from inaccuracies in understandings and models.
  3. 3The three options of action with uncertainties- Ignore
    - Allow for using intuition (ie Engineering Judgement)
    - Scientific approach by using probabilistic and statistical analysis
  4. 4Null HypothesisA general statement or default position that there is no relationship between two measured phenomena
  5. 5Type I ErrorNull Hypothesis is correct but is rejected - false positive
  6. 6Type II ErrorNull Hypothesis is false but is not rejected - false negative
  7. 7How to fix type I and type II errors respectivelyType I - Increase your level of confidence (more precise)
    Type 2 - Descriptive testing (more detailed)
    ##clarify later##
  8. 8Risk analysisA technique used to identify and assess factors that may jeopardize the success of a project or achieving a goal.
  9. 9Risk ManagementIdentifying the probability and consequence of making the wrong decisions
  10. 10State of Nature (SON)The true value of an uncertain variable.
    It can never be determined with absolute confidence.
  11. 11How to get and refine a SONYou can estimate the SON through prior knowledge, and obtain additional information to refine it by doing experiments
  12. 12Statistical Decision TheoryIdentifies the optimal decision when given a probability distribution for a state of nature
  13. 13Preposterior AnalysisWhen there are several possible tests identifying which one needs to be done. Tests should only be done id expected value of information is greater than obtaining cost.
  14. 14Stages of Posterior Analysis2 Stages in Decision Tree - Action and State
  15. 15Stages of Preposterior analysis4 Stages- Test (e), result (z), action(a), state (theta)
  16. 16Allais' ParadoxActual observed choices are inconsistent with predictions from expected utility theory
  17. 17Rational Decision-making approachMaking decisions purely based on probability and consequence of each possible outcome
  18. 18UtilityEssentially the benefits something gives
  19. 19Robust numerical measure of preference requirements- Has a scale ordering expected values
    Reflects decision makers subjective preferences
  20. 20Standard GambleAllows subjectivity, whilst preserving order of expected values.
    It is based on a decision tree, one leading to a certain outcome, the other a gamble.
  21. 21Three different types of decision making criteria (alternatives to rational approach)- Criteria of Pessimism
    For each action find minimum utility. Choose action with largest
    - Criteria of Optimism
    For each action find maximum utility.
    Choose action with largest
    - Criterion of regret
    Make table of regret, choose action with smallest maximum regrt
  22. 22ReliabilityProbability that component (or system) will function properly
  23. 23Assumptions made in reliability engineering- All components are independent
    - No partial failures
    - Known reliabilities per component
  24. 24Types of systemsSeries - System survives if all components survive
    Parallel - System survives if not all components fail
  25. 25Birnbaum ReliabilityImprove the link with highest Reliability Importance
    In series - Improve the weaker link
    In parallel - Improve the stronger link
  26. 26Henly and KumamotoImprove link with highest Critical Importance
    In series - Either or
    In parallel - Improve weaker link

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SCott Kearney
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Samuel Metcalfe
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