Decision tree - Group 4 - 2018/2019, Semester B, Quartile 3: Difference between revisions

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# [[PRE2018_3_Group4 | Root]]
# [[Notes - Group 4 - 2018/2019, Semester B, Quartile 3|Notes]]
# [[Initial ideas - Group 4 - 2018/2019, Semester B, Quartile 3|Initial ideas]]
# [[Project setup - Group 4 - 2018/2019, Semester B, Quartile 3|Project setup]]
# [[General problem - Group 4 - 2018/2019, Semester B, Quartile 3|General problem]]
# [[State of the Art - Group 4 - 2018/2019, Semester B, Quartile 3|State of the Art]]
# [[Specific problem - Group 4 - 2018/2019, Semester B, Quartile 3|Specific problem]]
# [[Present situation - Group 4 - 2018/2019, Semester B, Quartile 3|Present situation]]
# [[Solutions - Group 4 - 2018/2019, Semester B, Quartile 3|Solutions]]
# [[Airports under a microscope - Group 4 - 2018/2019, Semester B, Quartile 3|Airports under a microscope]]
# [[Decision tree - Group 4 - 2018/2019, Semester B, Quartile 3|Decision tree]]
# [[Future - Group 4 - 2018/2019, Semester B, Quartile 3|Future]]
# [[Conclusion - Group 4 - 2018/2019, Semester B, Quartile 3|Conclusion]]
# [[Discussion - Group 4 - 2018/2019, Semester B, Quartile 3|Discussion]]
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= Decision tree =
 
== Introduction ==
A decision tree is a decision support tool that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
 
Decision trees have three primary components, namely a root node, leaf nodes, and branches.
The root node is the starting point of the tree, and both root and leaf nodes hold questions or criteria.
Branches are arrows connecting nodes, showing the flow from the question to answer.
Each node typically has multiple nodes extending from it towards more questions or criteria.
Conclusively, in decision support systems, individuals use decision trees to clarify and find an answer to a complex problem.
In our case, the complex problem is what solution to use for what airport.
This structure allows users to take a problem with multiple possible solutions and to display those solutions in a simple, easy-to-understand format that also shows the relationship between different events or decisions.
In the decision tree, each result has an assigned risk and reward weight or number.
If a person uses a decision tree to make a decision, they look at each outcome and assess the benefits and drawbacks.
 
== Attributes ==
 
== Chosen attributes ==
 
== Weights ==
 
== Sensitivity analysis ==
 
 
----
Back to the [[PRE2018_3_Group4 | root page]].
 
==References==
<references />

Latest revision as of 14:39, 25 February 2019

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