articleTop 1% cited

Measurable Multiattribute Value Functions

Operations Research · 1979 · Vol. 27(4) · pp. 810–822

James S. Dyer✉(University of California, Los Angeles)Rakesh K. Sarin(Purdue University West Lafayette)

Abstract

This paper presents a theory of measurable multiattribute value functions. Measurable value functions are based on the concept of a “preference difference” between alternatives and provide an interval scale of measurement for preferences under certainty. We present conditions for additive, multiplicative, and more complex forms of the measurable multiattribute value function. This development provides a link between the additive value function and multiattribute utility theory.

Multi-Criteria Decision Making Bayesian Modeling and Causal Inference Decision-Making and Behavioral EconomicsMultiplicative functionPreferenceMeasurable functionValue (mathematics)Bellman equationMathematicsFunction (biology)Mathematical economicsInterval (graph theory)Certainty

Citations

675

FWCI

20.57

field-weighted impact

References

Percentile

100%

vs. same field & year

Citations per year

Cited by

Regret in Decision Making under Uncertainty