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本文基于模糊集与模糊推理理论,给出了一种模糊谓词模式的知识表示与推理模型。以分布函数来描述模糊语言变量,以可能性分布限定算法作为推理机制,为广泛应用于各种控制系统、专家系统以及人工智能各个领域的模糊推理系统提供了有效的问题描述和推理方式,拓展了Horn子句的表示,为模糊推理系统和工具的研制开发提供了基础。
Based on the theory of fuzzy sets and fuzzy inference, this paper presents a model of knowledge representation and inference of fuzzy predicate patterns. The distribution function is used to describe the fuzzy linguistic variables, and the probability distribution limited algorithm is used as the reasoning mechanism, which provides effective problem description and reasoning for the fuzzy inference system widely used in various control systems, expert systems and artificial intelligence fields. The Horn Clause representation provides the basis for the development of fuzzy inference systems and tools.