id: 06110862
dt: a
an: 06110862
au: Seising, Rudolf
ti: Measures of observables and measures of fuzziness.
so: Greco, Salvatore (ed.) et al., Advances in computational intelligence. 14th
    international conference on information processing and management of
    uncertainty in knowledge-based systems, IPMU 2012, Catania, Italy, July
    9‒13, 2012. Proceedings, Part II. Berlin: Springer (ISBN
    978-3-642-31714-9/pbk; 978-3-642-31715-6/ebook). Communications in
    Computer and Information Science 298, 52-61 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-31715-6_7
ab: Summary: The key aims of modern scientific work have generally been to find
    relationships between observed phenomena, construct mathematical
    formulas that describe these relationships, take measurements of the
    observables, and define axioms using terms that are as exact as
    possible. In many circumstances, the exactness of observed phenomena is
    limited ‒ or can only be measured with less than perfect accuracy.
    However, another problem arises if the concepts of a scientific theory
    do not fit with the picture that scientists use to understand their
    observations and experimental results. How to deal with such situations
    is a question that has intrigued many scientists and philosophers. In
    the 20th century two scientific theories appeared that change
    scientist’s views from classical to non-classical and on what is
    measurable: quantum mechanics and fuzzy set theory. This paper focuses
    on these developments.
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