Analogy as a Basis of Various Forms of Approximate Reasoning

Bernadette Bouchon-Meunier (1) , Jannick Delechamp (2) , Christophe Marsala (1) , Maria Rifqi (1)

1 APA - Apprentissage et Acquisition des connaissances
2 LCPC - Laboratoire Central des Ponts et Chaussées

We present a general framework representing analogy, on the basis of a link between variables and measures of comparison between values of variables. This analogical scheme is proven to represent a common description of several forms of reasoning used in fuzzy control or in the management of knowledge-based systems, such as deductive reasoning, inductive reasoning or prototypical reasoning and interpolative reasoning.

Domaines: Intelligence artificielle [cs.AI]

Bernadette Bouchon-Meunier, Jannick Delechamp, Christophe Marsala, Maria Rifqi. Analogy as a Basis of Various Forms of Approximate Reasoning. B. Bouchon-Meunier and R.R. Yager and L.A. Zadeh. Uncertainty in Intelligent and Information Systems, 20, World scientific publishing, pp.70--79, 2000, Advances in Fuzzy Systems - Applications and Theory, ⟨10.1142/9789812792563_0006⟩. ⟨hal-01072066⟩