| dc.description.abstract | Even swaps (ES) is a multi-criteria decision-making method introduced by Hammond et al.
(1998) that makes it easier for decision makers (DMs) to make trade-offs between the decision
criteria. The ES method can be further guided using decision support systems (DSSs) such that it
becomes even easier to use the method.
This thesis intends to make a DSS to guide a DM through the ES method and assess how the
preferences of the DM can be captured and updated using probabilistic dominance based on
Bayesian updating.
Results show that the DSS implemented in this thesis can remove dominated alternatives through
absolute dominance and practical dominance. Furthermore, the DM can make ES through the
DSS. In addition, the DSS can suggest alternatives that are likely to be dominated, while also
suggesting objectives that are close to having equal ranks such that these alternatives and
objectives can be used for ES. Finally, changing the coordinate pair and lower and upper limits
of the uniform distribution produces different results for the probable dominance such that it
becomes easy to see which coordinate pair and limits for the uniform distribution produces the
best results for dealing with the preferences of the DM. | |
