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
LIP6 - Laboratoire d'Informatique de Paris 6
2 LCPC - Laboratoire Central des Ponts et Chaussées
Abstract : 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.
Type de document :
Chapitre d'ouvrage
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〉
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https://hal.inria.fr/hal-01072066
Contributeur : Maria Rifqi <>
Soumis le : mardi 7 octobre 2014 - 14:19:54
Dernière modification le : jeudi 22 novembre 2018 - 01:21:46

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LIP6 | UPMC | IFSTTAR | SORBONNE-UNIVERSITE

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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〉

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