Decision Tree Analysis

This marketing diagram sample represents decision tree. It was redesigned from the Wikimedia Commons file: Decision Tree on Uploading Imagesv2.svg.
[commons.wikimedia.org/ wiki/ File:Decision_ Tree_ on_ Uploading_ Imagesv2.svg]
"A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm.
Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal. ...
A decision tree is a flowchart-like structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label (decision taken after computing all attributes). A path from root to leaf represents classification rules.
In decision analysis a decision tree and the closely related influence diagram is used as a visual and analytical decision support tool, where the expected values (or expected utility) of competing alternatives are calculated.
A decision tree consists of 3 types of nodes:
(1) Decision nodes - commonly represented by squares.
(2) Chance nodes - represented by circles.
(3) End nodes - represented by triangles.
Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal." [Decision tree. Wikipedia]
The marketing diagram example "Decision tree" was created using the ConceptDraw PRO diagramming and vector drawing software extended with the Marketing Diagrams solution from the Marketing area of ConceptDraw Solution Park.

This example was designed on the base of Figure 4.33 "Decision Tree Comparing Colorectal Screening Current Practice with a Targeted Family History Strategy" from the "Principles of Epidemiology in Public Health Practice, Third Edition. An Introduction to Applied Epidemiology and Biostatistics. Self-Study Course SS1978. Lesson 4: Displaying Public Health Data. Section 4: Other Data Displays" on the Centers for Disease Control and Prevention (CDC) website.
"The graph shows a decision tree with outcomes, and probabilities. In this case, a family history decision tree has 16 potential outcomes."
[cdc.gov/ ophss/ csels/ dsepd/ ss1978/ lesson4/ section4.html]
"A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements.
Decision trees are commonly used in operations research, specifically in decision analysis, to help identify a strategy most likely to reach a goal, but are also a popular tool in machine learning." [Decision tree. Wikipedia]
The diagram example "Decision tree" was designed using ConceptDraw software extended with Decision Making solution from Management area of ConceptDraw Solution Park.

This example was designed on the base of the Wikimedia Commons file: Derivative Works Decision Tree.svg.
"Decision tree for authorization (or not) of derivative works on Commons"
[commons.wikimedia.org/ wiki/ File:Derivative_ Works_ Decision_ Tree.svg]
"Wikimedia Commons is a shared free image repository. Rather than uploading the same image to some 720 wikis individually, images can be uploaded to commons and can be used from every wiki. This both saves time and server resources." [Wikipedia:Commons Upload Campaign. Wikipedia]
The diagram example "Derivative works decision tree" was designed using ConceptDraw software extended with Decision Making solution from Management area of ConceptDraw Solution Park.

This decision diagram example was designed on the base of the Wikimedia Commons file: Simple Influence Diagram.svg.
[commons.wikimedia.org/ wiki/ File:Simple_ Influence_ Diagram.svg]
This file is made available under the Creative Commons CC0 1.0 Universal Public Domain Dedication. [creativecommons.org/ publicdomain/ zero/ 1.0/ deed.en]
"An influence diagram (ID) (also called a relevance diagram, decision diagram or a decision network) is a compact graphical and mathematical representation of a decision situation. It is a generalization of a Bayesian network, in which not only probabilistic inference problems but also decision making problems (following the maximum expected utility criterion) can be modeled and solved.
ID was first developed in the mid-1970s by decision analysts with an intuitive semantic that is easy to understand. It is now adopted widely and becoming an alternative to the decision tree which typically suffers from exponential growth in number of branches with each variable modeled. ID is directly applicable in team decision analysis, since it allows incomplete sharing of information among team members to be modeled and solved explicitly. Extensions of ID also find their use in game theory as an alternative representation of the game tree." [Influence diagram. Wikipedia]
The example "Influence diagram" was designed using ConceptDraw software extended with Decision Making solution from Management area of ConceptDraw Solution Park.