Theory of including degrees and its applications to uncertainty inferences

Wenxiu Zhang, Y. Leung
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引用次数: 46

Abstract

Uncertainty inference is a key problem in artificial intelligence. The concept of including degree is introduced and some methods of generating including degrees are given. Some applications of including degrees to the retrieval and inference in expert systems are demonstrated.
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包含度理论及其在不确定性推理中的应用
不确定性推理是人工智能中的一个关键问题。介绍了包含度的概念,给出了生成包含度的几种方法。给出了包含度在专家系统检索和推理中的一些应用。
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Supporting rough set theory in very large databases using oracle RDBMS Theory of including degrees and its applications to uncertainty inferences Fuzzy decision making through relationships analysis between criteria Stratification structures on a kind of completely distributive lattices and their applications in theory of topological molecular lattices Supporting consensus reaching under fuzziness via ordered weighted averaging (OWA) operators
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