Abstract
In this paper the infomation associated to an event à (crisp or fuzzy) of a space (Ω, S) measures the degree of surprise which arises when this event occurs. J.Kampé de Fcrict and B.Forte gave in 1967 ([5]) an axiomatic definition of this concept, in which the information measure J is associated directly to the crisp event A of a measurable space (Ω, S). We will propose here a possible way to measure the information in the fuzzy context. We proceed by supposing that an axiomatic information measure is defined on the crisp events (crisp subsets): the information of a fuzzy subset will be constructed by means of the informations of their α-cuts.
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© 1995 Springer-Verlag Berlin Heidelberg
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Bertoluzza, C., Brezmes, T., Naval, G. (1995). Compositive information measure of a fuzzy set. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Advances in Intelligent Computing — IPMU '94. IPMU 1994. Lecture Notes in Computer Science, vol 945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035957
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DOI: https://doi.org/10.1007/BFb0035957
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