Web-HIPRE (v.2.0) is a browser based version of the very popular web-HIPRE (v.1.22) software for multiple criteria decision analysis. The user is assumed to be familiar with the basics of value tree analysis (see the eLearning material).

In Web-HIPRE the decision problem is structured hierarchically to form a value tree of criteria (objectives) and sub-criteria (lower level-objectives and attributes). The relative importance of the criteria can be determined by different methods. The decision alternatives are then evaluated against the lowest level criteria (attributes) by using either value functions or by direct rating or the AHP method.

The local weights of the criteria can be elicited by different weighting methods. Web-HIPRE supports the AHP, SMART, SWING and the rank based SMARTER methods. The same model can be analyzed with different combinations of methods which is a unique feature of the software. Priorities-dialog. This allows the user to compare the results when using different methods. This feature is most valuable in practical applications and in the class-room when teaching multi-criteria decision analysis.

The overall priorities of the alternatives are calculated using the criteria weights. These priorities are shown by bar graphs with segments representing the contributions of different criteria. There is also a sensitivity analysis dialog. See Analysing Results.

The value tree is easily constructed by mouse-driven commands. Each element of the value tree can be linked to a Web-page to provide additional information about this element in order to help the decision maker to better understand the problem. See Web-HIPRE Links.

In this new version the models are saved to your local computer. Models can be shared by sending the files to other web-HIPRE users. See File Operations. Each window can also be printed with the standard printing commands.

The users of decision analysis software should be aware of behavioral impacts such as the possibilities of biases and risks of path dependence. The structure of the value tree and the weighting method can have an impact on the resulting priorities. See References

See slide show for an introduction.

Web-HIPRE links

Help Index

Creating a Model