Łukasiewicz逻辑与概率论的可分扩展

R. Fric
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引用次数: 0

摘要

摘要我们证明了带有多值Łukasiewicz逻辑的可测量模糊集导致了经典Kolmogorovian概率论的自然推广。从布尔逻辑到Łukasiewicz逻辑的转变有一个范畴背景,由此产生的可分割概率论同时具有模糊性和量子性。可分性概率论的可观测值扮演着与经典随机变量类似的角色:将随机信息从一个系统传递到另一个系统。保留Łukasiewicz逻辑的可观测项被称为保守的,并表征了可分概率理论的“经典核心”。它们将清晰随机事件发送到清晰随机事件,并将狄拉克概率测度发送到狄拉克概率度量。非守恒可观察器将一些清晰的随机事件发送到真正的模糊事件,并将一些Dirac概率测度发送到非退化概率测度。它们构成了从经典概率论向可分概率论过渡的附加值。
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Łukasiewicz Logic and the Divisible Extension of Probability Theory
Abstract We show that measurable fuzzy sets carrying the multivalued Łukasiewicz logic lead to a natural generalization of the classical Kolmogorovian probability theory. The transition from Boolean logic to Łukasiewicz logic has a categorical background and the resulting divisible probability theory possesses both fuzzy and quantum qualities. Observables of the divisible probability theory play an analogous role as classical random variables: to convey stochastic information from one system to another one. Observables preserving the Łukasiewicz logic are called conservative and characterize the “classical core” of divisible probability theory. They send crisp random events to crisp random events and Dirac probability measures to Dirac probability measures. The nonconservative observables send some crisp random events to genuine fuzzy events and some Dirac probability measures to nondegenerated probability measures. They constitute the added value of transition from classical to divisible probability theory.
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Tatra Mountains Mathematical Publications
Tatra Mountains Mathematical Publications Mathematics-Mathematics (all)
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