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Uncertainty theory : ウィキペディア英語版
Uncertainty theory

Uncertainty theory is a branch of mathematics based on normality, monotonicity, self-duality, countable subadditivity, and product measure axioms. It was founded by Baoding Liu 〔Baoding Liu, Uncertainty Theory, 2nd ed., Springer-Verlag, Berlin, 2007.〕 in 2007 and refined in 2009.〔Baoding Liu, Uncertainty Theory, 4th ed., http://orsc.edu.cn/liu/ut.pdf.〕
Mathematical measures of the likelihood of an event being true include probability theory, capacity, fuzzy logic, possibility, and credibility, as well as uncertainty.
==Five axioms==
Axiom 1. (Normality Axiom) \mathcal\=1\text\Gamma.
Axiom 2. (Monotonicity Axiom) \mathcal\\le\mathcal\\text\Lambda_1\subset\Lambda_2.
Axiom 3. (Self-Duality Axiom) \mathcal\+\mathcal\=1\text\Lambda.
Axiom 4. (Countable Subadditivity Axiom) For every countable sequence of events Λ1, Λ2, ..., we have
::\mathcal\left\\le\sum_^\infty\mathcal\.
Axiom 5. (Product Measure Axiom) Let (\Gamma_k,\mathcal_k,\mathcal_k) be uncertainty spaces for k=1,2,\cdots,n. Then the product uncertain measure \mathcal is an uncertain measure on the product σ-algebra satisfying
::\mathcal\left\=\underset\mathcal_i\.
Principle. (Maximum Uncertainty Principle) For any event, if there are multiple reasonable values that an uncertain measure may take, then the value as close to 0.5 as possible is assigned to the event.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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