Abstract
The question of how to describe uncertainty and how to deal with it in a rigorous mathematical way has been discussed for many years (we only recall the dispute between objectivists and subjectivists in probability theory). More recently two attempts in the context of fuzzy sets (Zadeh [24]) have been made. In 1968 Zadeh [25] introduced fuzzy probability which led to an axiomatic study of this topic (Höhle [6], Klement [13, 15], Klement et al. [17]) in the sense of a valuation on a lattice, the so-called fuzzy σ-algebra (Klement [12, 14]), which also might be assumed to be non-distributive. Using a suitable complement terms such as discernibless and indiscernibless may be formulated (Höhle [9]). The second approach, again given by Zadeh [26] in 1978, was the introduction of possibility measures, mappings on a Boolean algebra where the addition is performed using the maximum instead of the sum.
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Höhle, U., Klement, E.P. (1984). Plausibility Measures — A General Framework for Possibility and Fuzzy Probability Measures. In: Skala, H.J., Termini, S., Trillas, E. (eds) Aspects of Vagueness. Theory and Decision Library, vol 39. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6309-2_3
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DOI: https://doi.org/10.1007/978-94-009-6309-2_3
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