Integration of Fuzzy Logic in Analogical Reasoning: A Prototype

Moreno Colombo, Sara D’Onofrio, Edy Portmann · 2020

Research and practice have long been working on the development and implementation of intelligent or smart systems. Such efforts are particularly made in the field of artificial intelligence. In this context, this article deals with the design and development of a system that should come close to human information processing. The proposed framework, consisting of an analogical scheme which is extended by fuzzy logic, represents an additional information processing module that can process and interpret unknown terms by linking them with known ones. The focus of this contribution is set on the creation of a prototype able of computing conceptual and spectral analogies. Thereby, this article discusses the current state of the fuzzy analogical reasoning prototype, and its implications and limitations.

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