Machine learningUncertainty theory
可能性理论
可能性理论是一种用于表示和推理不确定性的数学框架，由 Lotfi Zadeh 于 1978 年提出，并由 Didier Dubois 和 Henri Prade 在其 1988 年的专著中系统发展。它使用可能性分布（为宇宙中的每个元素分配 [0,1] 区间内的一个度量的函数）来编码与可用信息兼容或一致的内容，以补充概率论在数据稀缺或知识不精确的情况下的应用。
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来源
- Dubois, D., & Prade, H. (1988). Possibility Theory: An Approach to Computerized Processing of Uncertainty. Plenum Press. ISBN: 978-0-306-42520-2
- Zadeh, L. A. (1978). Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1(1), 3–28. DOI: 10.1016/0165-0114(78)90029-5 ↗
如何引用本页
ScholarGate. (2026, June 2). Possibility Theory. ScholarGate. https://scholargate.app/zh/soft-computing/possibility-theory
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