David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Louis Narens (ed.)
MIT Press (1985)
The need for quantitative measurement represents a unifying bond that links all the physical, biological, and social sciences. Measurements of such disparate phenomena as subatomic masses, uncertainty, information, and human values share common features whose explication is central to the achievement of foundational work in any particular mathematical science as well as for the development of a coherent philosophy of science. This book presents a theory of measurement, one that is "abstract" in that it is concerned with highly general axiomatizations of empirical and qualitative settings and how these can be represented quantitatively. It was inspired by, and represents a generalization and extension of, the last major research work in this field, Foundations of Measurement Vol. I, by Krantz, Luce, Suppes, and Tversky published in 1971.
|Keywords||Measurement Representation Theory|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
Lester E. Krueger (1989). Reconciling Fechner and Stevens: Toward a Unified Psychophysical Law. Behavioral and Brain Sciences 12 (2):251.
Michel Treisman (1989). Sensory Scaling: Unanswered Questions. Behavioral and Brain Sciences 12 (2):293.
David J. Weiss (1989). Psychophysics and Metaphysics. Behavioral and Brain Sciences 12 (2):298.
Lester E. Krueger (1989). Psychophysical Law: Keep It Simple. Behavioral and Brain Sciences 12 (2):299.
Donald Laming (1989). Experimental Evidence for Fechner's and Stevens's Laws. Behavioral and Brain Sciences 12 (2):277.
Similar books and articles
Ludwik Finkelstein (1984). A Review of the Fundamental Concepts of Measurement. [REVIEW] Measurement 2 (1):25-34.
Giovanni Rossi (2006). A Probabilistic Theory of Measurement. Measurement 39:34-50.
Jeffrey Helzner (2012). On the Representation of Error. Synthese 186 (2):601-613.
Ludwik Finkelstein (1994). Measurement and Instrumentation Science. An Analytical Review. Measurement 14 (1):3-14.
Reinhard Niederée (1992). What Do Numbers Measure? A New Approach to Fundamental Measurement. Mathematical Social Sciences 24:237-276.
Aldo Frigerio, Alessandro Giordani & Luca Mari (2010). Outline of a General Model of Measurement. Synthese 175 (2):123-149.
Ludwik Finkelstein (2009). Widely-Defined Measurement. An Analysis of Challenges. Measurement 42 (9):1270–1277.
Luca Mari (2005). The Problem of Foundations of Measurement. Measurement 38 (4):259-266.
Luca Mari (2003). Epistemology of Measurement. Measurement 34 (1):17-30.
Ludwik Finkelstein (2003). Widely, Strongly and Weakly Defined Measurement. Measurement 34 (1):39-48.
Henry E. Kyburg (ed.) (1984). Theory and Measurement. Cambridge University Press.
Louis Narens (1974). Measurement Without Archimedean Axioms. Philosophy of Science 41 (4):374-393.
Galit Weidman Sassoon (2010). Measurement Theory in Linguistics. Synthese 174 (1):151 - 180.
Fred S. Roberts (ed.) (1985). Measurement Theory. Cambridge University Press.
Alessandro Giordani & Luca Mari (2012). Measurement, Models, and Uncertainty. IEEE Transactions on Instrumentation and Measurement 61 (8):2144 - 2152.
Added to index2012-01-09
Total downloads33 ( #97,829 of 1,726,249 )
Recent downloads (6 months)9 ( #74,830 of 1,726,249 )
How can I increase my downloads?