The additive conjoint measurement model is applied to the study of decision making under certainty and risk. A data matrix is called additive if it is possible to rescale its cell entries such that their order is preserved and that every rescaled entry can be expressed as a sum of its row and...

The present theory generalizes conjoint measurement in five major respects. (a) It is formulated in terms of partially rather than fully ordered data. (b) It applies to both ordinal and numerical data. (c) It is applicable to finite as well as infinite data structures. (d) It provides a...