DEXi Functionality

DEXi supports two basic tasks:

  1. the development of qualitative multi-attribute models;
  2. the application of models for the evaluation and analysis of options.

The models are developed by defining:

In the evaluation and analysis stage, DEXi facilitates:

DEXi differs from most conventional multi-attribute decision modeling tools in that it uses qualitative (symbolic) attributes instead of quantitative (numeric) ones. Also, aggregation (utility) functions in DEXi are defined by if-then decision rules rather numerically by weights or some other kind of formula. (However, DEXi does support weights indirectly.)

In comparison with its predecessor DEX, DEXi has a more modern and more convenient user interface. Also, it has better graphical and reporting capabilities, and facilitates the use of weights to represent and assess qualitative utility functions. On the other hand, DEXi is somewhat less powerful than DEX in dealing with incomplete option descriptions: DEX employs probabilistic and fuzzy distribution of values, while DEXi facilitates only the use of crisp or unknown option values.