Measurement foundations for multiattribute psychophysical theories based on first order polynomials

DOI10.1016/0022-2496(83)90041-XzbMath0563.92023MaRDI QIDQ1057804

John M. Miyamoto

Publication date: 1983

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

zbMATH Keywords

additive conjoint measurementdifference measurementfirst order polynomial measurement representationsmultiattribute psychophysicsmultiattribute version of the power lawpolynomial generalizations of expected utility theorypostulate of context invariancepsychological invariancerelation theorysubjective magnitudes of multiattributed stimuli

Mathematics Subject Classification ID

Utility theory (91B16) Functional equations and inequalities (39B99) Other classical set theory (including functions, relations, and set algebra) (03E20) Psychophysics and psychophysiology; perception (91E30) Mathematical psychology (91E99)

Related Items (1)

Generic utility theory: Measurement foundations and applications in multiattribute utility theory

Cites Work

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• Psychological relations and psychophysical scales: On the status of direct psychophysical measurement
• Seven independence concepts and continuous multiattribute utility functions
• A generalization of a theorem of dimensional analysis
• A theory of magnitude estimation and cross-modality matching
• Measurable Multiattribute Value Functions
• Generalized Utility Independence and Some Implications
• Quasi‐separable utility functions
• Utility Functions for Multiattributed Consequences
• Utility Independence and Preferences for Multiattributed Consequences

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