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Decision Making under Complex Uncertainty
The aim of this work is the presentation and implementation of a selection of principles and criteria of decision theory in the statistical programming language R. The selection contains the most common criteria as well as some criteria introduced by the chair for "Foundations of Statistics and Their Applications". Theoretical aspects and background information on the criteria is included, as well as explanations for each of the their implementations. Most of the algorithms used did alreadydoi:10.5282/ubm/epub.75183 fatcat:af2jkuayl5ahdag43ybq4qfx4m