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Decision trees, influence diagrams, utility functions, and other decision analysis tools and methods are taught to undergraduate students in schools of business, health economics, and public health, and are examples of operations research or management science methods. These tools are also used to predict decisions of householders in normal and ...
In nuclear industry, RiskSpectrum software is widely used which has both event tree analysis and fault tree analysis. Professional-grade free software solutions are also widely available. SCRAM is an example open-source tool that implements the Open-PSA Model Exchange Format open standard for probabilistic safety assessment applications.
An incremental decision tree algorithm is an online machine learning algorithm that outputs a decision tree. Many decision tree methods, such as C4.5 , construct a tree using a complete dataset. Incremental decision tree methods allow an existing tree to be updated using only new individual data instances, without having to re-process past ...
The problem of learning an optimal decision tree is known to be NP-complete under several aspects of optimality and even for simple concepts. [35] [36] Consequently, practical decision-tree learning algorithms are based on heuristics such as the greedy algorithm where locally optimal decisions are made at each node. Such algorithms cannot ...
In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan [1] used to generate a decision tree from a dataset. ID3 is the precursor to the C4.5 algorithm , and is typically used in the machine learning and natural language processing domains.
Decision Lens implements the Analytic Hierarchy Process (AHP) [1] and the Analytic Network Process (ANP) [2] and is used in fields such as energy, [3] medical research [4] and group decision-making. [5] [6] The software is supplied by Decision Lens Inc., which was founded in 2002 by John and Dan Saaty. [7]
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