Abstract
In terminology introduced by Vansnik [10], the multicriteria formulation of decision situation can be defined as a model of three components: the set of attributes, the set of alternatives and the set of evaluations. Each pair (attribute, alternatives) is described by vector of evaluation, which may be of different nature. In multicriteria analysis with uncertainty we apply MCAP procedures by Zaras and Martel [13] based on stochastic and probabilistic dominances for welfare in the decision making process.
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Zawisza, M., Trzpiot, G. (2002). Multicriteria Analysis Based On Stochastic and Probabilistic Dominance in Measuring Quality of Life. In: Trzaskalik, T., Michnik, J. (eds) Multiple Objective and Goal Programming. Advances in Soft Computing, vol 12. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1812-3_32
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DOI: https://doi.org/10.1007/978-3-7908-1812-3_32
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