1.1 Adding new variables (Setting Properties)

Figure 2. Property sheet for variable. This provides a place for setting documentation and properties of the variable.

Here we record our purpose for creating the variable. Notice down in the bottom corner is an "Edit Outcome" subwindow. Although variables in Graphical-Belief don't need to be binary, for certain purposes it is useful to think of them that way. There are two reasons we might want to think of a variable as binary. One is to use it as part of a logical rule during model construction. To do this, we assign a set of outcomes to true and the rest to false. The other reason to think of a variable as binary is to choose which state or states will get the red color (negative states) and which will get blue (positive states). In the example, the outcome "Yes" is sort of like a failure so it gets the properties true (failure oriented fault tree) and negative.

Figure 3 shows the model after adding the "Live-Steam" variable.

Model Construction. Go back to the begining of the model construction example.

Return to the main example page.

Back to overview of Graphical-Belief.

View a list of Graphical-Belief in publications and downloadable technical reports.

The Graphical-Belief user interface is implemented in Garnet.

Get more information about obtaining Graphical-Belief (and why it is not generally available).

get the home page for Russell Almond , author of Graphical-Belief.

Click here to get to the home page for Insightful (the company that StatSci has eventually evolved into).