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Outline of a general model of measurement

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Abstract

Measurement is a process aimed at acquiring and codifying information about properties of empirical entities. In this paper we provide an interpretation of such a process comparing it with what is nowadays considered the standard measurement theory, i.e., representational theory of measurement. It is maintained here that this theory has its own merits but it is incomplete and too abstract, its main weakness being the scant attention reserved to the empirical side of measurement, i.e., to measurement systems and to the ways in which the interactions of such systems with the entities under measurement provide a structure to an empirical domain. In particular it is claimed that (1) it is on the ground of the interaction with a measurement system that a partition can be induced on the domain of entities under measurement and that relations among such entities can be established, and that (2) it is the usage of measurement systems that guarantees a degree of objectivity and intersubjectivity to measurement results. As modeled in this paper, measurement systems link the abstract theory of measuring, as developed in representational terms, and the practice of measuring, as coded in standard documents such as the International Vocabulary of Metrology.

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References

  • Birkhoff, G. (1948). Lattice theory (American Mathematical Society colloquium series, Vol. 25).

  • Bridgman P. (1927) The logic of modern physics. Macmillan, New York

    Google Scholar 

  • Carnap R. (1966) Philosophical foundations of physics. Basic Books, Inc., New York–London

    Google Scholar 

  • Finkelstein L. (2003) Widely, strongly and weakly defined measurement. Measurement 34: 39–48. doi:10.1016/S0263-2241(03)00018-6

    Article  Google Scholar 

  • Finkelstein L. (2005) Problems of measurement in soft systems. Measurement 38: 267–274. doi:10.1016/j.measurement.2005.09.002

    Article  Google Scholar 

  • Hempel C.G. (1952) Fundamentals in concepts formation in physical sciences. University of Chicago Press, Chicago

    Google Scholar 

  • Hempel C.G. (1965) Aspects of scientific explanation and other essays in the philosophy of science. Free Press, Glencoe

    Google Scholar 

  • JCGM. (2008a). JCGM 200:2008, International vocabulary of metrology—basic and general concepts and associated terms (VIM, 3rd ed.). Downloadable from http://www.bipm.org.

  • JCGM. (2008b). JCGM 100:2008, Evaluation of measurement data—guide to the expression of uncertainty in measurement (GUM, 1995 with minor corrections). Downloadable from http://www.bipm.org.

  • Krantz D.H., Luce R.D., Suppes P., Tversky A. (1971) Foundations of measurement (Vol. I). Academic Press, New York

    Google Scholar 

  • Kuhn T.S. (1961) The function of measurement in modern physical sciences. Isis 52: 161–193. doi:10.1086/349468

    Article  Google Scholar 

  • IEC. (2008). IEC 60050 series, and Electropedia (also known as the “International Electrotechnical Vocabulary (IEV) Online”). Retrieved from http://www.electropedia.org.

  • Luce, R. D. Krantz. D. H., Suppes, P. & Tversky, A. (1990). Foundations of measurement (Vol. III). San Diego: Academic Press

  • Mari L. (2003) Epistemology of measurement. Measurement 34: 17–30. doi:10.1016/S0263-2241(03)00016-2

    Article  Google Scholar 

  • Mari, L. (2007). Measurability. In M. Boumans (Ed.), Measurement in economics (pp. 41-77). Amsterdam, Elsevier.

  • Narens L. (1985) Abstract measurement theory. Mass MIT Press, Cambridge

    Google Scholar 

  • Narens L. (2002) Theories of meaningfulness. Mahwah, NJ, Lawrence Erlbaum Associates

    Google Scholar 

  • Niederée R. (1992) What do numbers measure? A new approach to fundamental measurement. Mathematical Social Sciences 24: 237–276. doi:10.1016/0165-4896(92)90063-B

    Article  Google Scholar 

  • Pfanzagl, J. (1968). Theory of measurement (2nd ed.). New York: Wiley (Vienna: Physica, 1971).

  • Roberts J. (1979) Measurement theory. Addison-Wesley, Reading, Mass

    Google Scholar 

  • Scott D., Suppes P. (1958) Foundational aspects of theories of measurement. Journal of Symbolic Logic 23: 13–128. doi:10.2307/2964453

    Article  Google Scholar 

  • Stevens S. (1946) On the theory of scales of measurement. Science 103: 677–680. doi:10.1126/science.103.2684.677

    Article  Google Scholar 

  • Suppes P. (2006) Transitive indistinguishability and approximate measurement with standard finite ratio-scale representations. Journal of Mathematical Psychology 50: 329–336

    Article  Google Scholar 

  • Suppes P., Krantz D.H., Luce R.D., Tversky A. (1990) Foundations of measurement (Vol. II). Academic Press, New York

    Google Scholar 

  • Suppes, P., & Zinnes, J. L. (1963). Basic measurement theory. In R. D. Luce, R. R. Bush, & E. Galanter (Eds.). Handbook of mathematical psychology (Vol. 1, pp. 1–76). New York, Wiley.

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Correspondence to Aldo Frigerio.

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Frigerio, A., Giordani, A. & Mari, L. Outline of a general model of measurement. Synthese 175, 123–149 (2010). https://doi.org/10.1007/s11229-009-9466-3

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