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  2. Event tree analysis - Wikipedia

    en.wikipedia.org/wiki/Event_tree_analysis

    Performing a probabilistic risk assessment starts with a set of initiating events that change the state or configuration of the system. [3] An initiating event is an event that starts a reaction, such as the way a spark (initiating event) can start a fire that could lead to other events (intermediate events) such as a tree burning down, and then finally an outcome, for example, the burnt tree ...

  3. Seven management and planning tools - Wikipedia

    en.wikipedia.org/wiki/Seven_Management_and...

    It uses a combination of tree and matrix diagramming techniques to do a pair-wise evaluation of items and to narrow down options to the most desired or most effective. Popular applications for the prioritization matrix include return on investment (ROI) or cost–benefit analysis (investment vs. return), time management matrix (urgency vs ...

  4. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    Regression tree analysis is when the predicted outcome can be considered a real number (e.g. the price of a house, or a patient's length of stay in a hospital). The term classification and regression tree (CART) analysis is an umbrella term used to refer to either of the above procedures, first introduced by Breiman et al. in 1984. [7]

  5. Bow-tie diagram - Wikipedia

    en.wikipedia.org/wiki/Bow-tie_diagram

    [5] [8] The more complex risk analysis tools of fault tree analysis, event tree analysis use the same principle: Things go wrong, there is a reason for that and a result too, with the result generating the adverse consequences. The bow-tie diagram introduces the concept of a central energy-based event (the "bow tie knot") in which the damaging ...

  6. Decision tree - Wikipedia

    en.wikipedia.org/wiki/Decision_tree

    The left tree is the decision tree we obtain from using information gain to split the nodes and the right tree is what we obtain from using the phi function to split the nodes. The resulting tree from using information gain to split the nodes. Now assume the classification results from both trees are given using a confusion matrix.

  7. Multiple-criteria decision analysis - Wikipedia

    en.wikipedia.org/wiki/Multiple-criteria_decision...

    In this example a company should prefer product B's risk and payoffs under realistic risk preference coefficients. Multiple-criteria decision-making (MCDM) or multiple-criteria decision analysis (MCDA) is a sub-discipline of operations research that explicitly evaluates multiple conflicting criteria in decision making (both in daily life and in settings such as business, government and medicine).

  8. Event tree - Wikipedia

    en.wikipedia.org/wiki/Event_tree

    An event tree may start from a specific initiator such as loss of critical supply, [6] or component failure. [7]Some industries use both fault trees and event trees. Software has been created for fault tree analysis and event tree analysis and is licensed for use at the world's nuclear power plants for Probabilistic Safety As

  9. Current reality tree (theory of constraints) - Wikipedia

    en.wikipedia.org/wiki/Current_reality_tree...

    Current reality tree example. A CRT begins with a list of problems, known as undesirable effects (UDEs.) These are assumed to be symptoms of a deeper common cause. To take a somewhat frivolous example, a car owner may have the following UDEs: the car's engine will not start; the air conditioning is not working; the radio sounds distorted