Fuzzy Logic to Cope with Complex Problems: Some Examples of Real-World Applications

Bernadette Bouchon-Meunier (1)

1 MALIRE - Machine Learning and Information Retrieval

In this paper, we present the capabilities of fuzzy logic to cope with complex problems and to summarize or synthetize large amounts of data. We first describe the major theoretical tools we mainly use, namely similarity measures and fuzzy inductive learning, and then their applications on several examples that illustrate various aspects of a fuzzy set based knowledge representation.

Domaines: Informatique [cs]

Bernadette Bouchon-Meunier. Fuzzy Logic to Cope with Complex Problems: Some Examples of Real-World Applications. International Conference on Soft Computing as Transdisciplinary Science and Technology, Oct 2008, Cergy-Pontoise, France. pp.404-405, ⟨10.1145/1456223.1456306⟩. ⟨hal-01299506⟩