UTA Methods
msra(2005)
摘要
UTA methods refer to the philosophy of assessing a set of value or utility functions, assuming the axiomatic basis of MAUT
and adopting the preference disaggregation principle. UTA methodology uses linear programming techniques in order to optimally
infer additive value/utility functions, so that these functions are as consistent as possible with the global decision-maker’s
preferences (inference principle). The main objective of this chapter is to analytically present the UTA method and its variants
and to summarize the progress made in this field. The historical background and the philosophy of the aggregation-disaggregation
approach are firstly given. The detailed presentation of the basic UTA algorithm is presented, including discussion on the
stability and sensitivity analyses. Several variants of the UTA method, which incorporate differentforms of optimality criteria,
are also discussed. The implementation of the UTA methods is illustrated by a general overview of UTA-based DSSs, as well
as real-world decision-making applications. Finally, several potential future research developments are discussed.
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关键词
mul- ticriteria analysis. keywords:,additiveutility,uta methods,ordinal regression,preference disaggregation
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