Decision Tree
Project Management
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Decision Tree
A decision tree is a tool that uses a tree-like graph to illustrate every possible outcome of a decision. Decision trees are commonly used in operations research, specifically in decision analysis, in order to reach the final goal. A decision tree can also be used to clarify and find an answer to a complex problem by displaying the problem in a simple, easy-to-understand format that shows the relationship between different events or decisions
Decision trees are useful for focusing discussion when a group must make a decision. With Edraw decision tree software, your work efficiency can be greatly improved.
Decision Tree Software
With Edraw, it is very easy to create a Decision Tree diagram, which helps make good choices in many different disciplines including medical diagnosis, cognitive science, artificial intelligence, program theory, engineering, and data mining. It has pre-defined templates and a large collection of ready-made shapes, which allows you to build a decision tree diagram just with a few clicks, very fast and convenient.
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Decision Tree Symbols
Edraw decision tree templates include may special shapes used in decision tree diagrams, decision mode node, chance event node, endpoints, branches of alternatives, rejected alternative, outcome or utility, probability, expected value, node designating and payoff.
Decision Tree Examples
Apply this decision tree template to create your own diagram. You can be real quick with ease.
How to Create Decision Tree
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Simple Decision Tree Examples
A simple decision tree example is provided in vector format to enhance your work efficiency.
Development Decision Diagram Maker
Decision Tree Software for Linux- Best Solution to Create Decision Tree
Software Choosing Decision Tree Examples
Have a look at this elaborately made decision tree example, and exert your imagination for better decision tree designs.
Friends Visiting Decision Tree Examples
An editable friends visiting decision tree template is provided aiming to help users with more ideas in decision tree design.