Results 161 to 170 of about 6,851 (207)
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Multiattribute Utility Theory without Expected Utility Foundations

Medical Decision Making, 1995
Methods for determining the form of utilities are needed for the implementation of utility theory in specific decisions. An important step forward was achieved when utility theorists characterized useful parametric families of utilities, and simplifying decompositions of multiattribute utilities.
Stiggelbout, A.M., Wakker, P.P.
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Functional ANOVA, ultramodularity and monotonicity: Applications in multiattribute utility theory

European Journal of Operational Research, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BECCACECE, FRANCESCA   +1 more
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Multiattribute Utility Theory

1996
The utility theory approach is an attempt to rigorously apply objective measurement to decision making. Also known as the decision analysis method, the principle behind utility theory is that if alternative performances on concrete, measurable attributes are compared in a rational, unbiased manner, sounder decisions will result.
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An Empirical Comparison Between Expectancy Theory and Multiattribute Utility Theory.

Academy of Management Proceedings, 1983
This is the first comparison between multiattribute utility (MAU) theory and expectancy theory. Several conceptual reasons are listed in favor of MAU, and MAU is empirically found to be the better ...
Charles W. Kennedy, Leah Elliott
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Generic utility theory: Measurement foundations and applications in multiattribute utility theory

Journal of Mathematical Psychology, 1988
The formulated utility representation is generic in the sense that it is implied by many stronger utility theories. The generic utility representation postulates that the preference order on a subset of two- outcome gamblers with fixed probability is represented by an additive combination of the utility outcomes.
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Multiple Criteria Decision Making, Multiattribute Utility Theory: The Next Ten Years

Management Science, 1992
Management science and decision science have grown exponentially since midcentury. Two closely-related fields central to this growth are multiple criteria decision making (MCDM) and multiattribute utility theory (MAUT). This paper comments on the history of MCDM and MAUT and discusses topics we believe are important in their continued development and ...
James S. Dyer   +4 more
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Maut — Multiattribute Utility Theory

2006
In this chapter, we provide a review of multiattribute utility theory. We begin with a brief review of single-attribute preference theory, and we explore preference representations that measure a decision maker’s strength of preference and her preferences for risky alternatives. We emphasize the distinction between these two cases, and then explore the
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Multiattribute Utility Theory (MAUT)

2016
In this chapter, we provide a review of multiattribute utility theory. We begin with a brief review of single-attribute preference theory, and explore preference representations that measure a decision maker’s strength of preference and her preferences for risky alternatives.
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A Multiattribute Utility Theory-Based Method for Product Line Selection

Journal of Mechanical Design, 2007
This paper presents a method based on multiattribute utility theory (MAUT) that facilitates the selection of a product line. The method helps select the subset of products to manufacture based on criteria at the: (1) product level (e.g., manufacturing cost, profit); and (2) product family level (e.g., commonality, component reuse, variety, market ...
Henri J. Thevenot   +3 more
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Partial Information, Dominance, and Potential Optimality in Multiattribute Utility Theory

Operations Research, 1986
When a multiattribute utility function is only partially specified by prior preference statements, what can be said about the relative desirability of actual alternatives? This question is addressed for the cases of additively separable cardinal utility with unknown scaling constants; multiplicatively separable cardinal utility with unknown scaling ...
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