"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]
This marketing diagram sample was redesigned from the Wikimedia Commons file: Decision Tree on Uploading Imagesv2.svg.
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.