![]() This requires that the outcomes of the different alternatives lie close to each other, a prerequisite that can only be fully achieved with an unlimited number of alternatives. all changes to the fulfilment of a target criterion can be balanced by changes in other target criteria. It is assumed that the criteria are interchangeable, i.e. Um(o1, o2.,oc) = f(ux(oj), u2(o2)., uc(oc)) (6.22)īecause each separate criterion is analysed, specific value assessments can be made for them, and exchange relationships between them can be explicitly considered. The total utility (value) UM then arises as a function of the individual utilities uc assigned to the outcomes oc (c = 1.,C) of the target criteria: Using MAUT, cardinal utility functions are assigned to each attribute according to the preferences of the decision-maker (called individual utility functions in the following). A characteristic feature of the method is that a multi-criteria problem is solved using cardinal utility functions (or 'preference functions') based on substitution rates between the attributes. The multi-attribute utility theory (MAUT) was originally developed for the analysis of multi-criteria problems under uncertain conditions, but it can also be applied in more predictable conditions (of certainty), as assumed here. ![]()
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