Towards a fuzzy logical algebra (FLA) for formal inferences in cognitive computing and cognitive robotics

Yingxu Wang
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引用次数: 7

Abstract

The fuzzy and algebraic treatment of the hyperstructured logical variables and complex logical expressions are centric in inference methodologies of many contemporary disciplines such as cognitive informatics, cognitive computing, computational linguistics, cognitive semantics, causal inferences, computing with words, cognitive robotics, and computational intelligence. This paper presents a denotational mathematics of fuzzy logical algebra and a formal theory for cognitive inference systems. Fuzzy logical propositions are formally modeled based on fuzzy logical expressions and variables. An algebraic structure of extended fuzzy logic is created by a set of algebraic operators on formal fuzzy propositions. Fuzzy logical algebra provides a denotational mathematical means for algebraic manipulations of fuzzy logical expressions. A set of insightful and interesting properties of fuzzy logical algebra is revealed.
面向认知计算和认知机器人中形式推理的模糊逻辑代数
对超结构逻辑变量和复杂逻辑表达式的模糊和代数处理是当代许多学科的推理方法的中心,如认知信息学、认知计算、计算语言学、认知语义学、因果推理、词计算、认知机器人和计算智能。本文提出了模糊逻辑代数的指称数学和认知推理系统的形式理论。模糊逻辑命题是基于模糊逻辑表达式和变量的形式化建模。利用形式模糊命题上的一组代数算子,建立了扩展模糊逻辑的代数结构。模糊逻辑代数为模糊逻辑表达式的代数运算提供了一种指称数学方法。揭示了模糊逻辑代数的一系列深刻而有趣的性质。
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