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Article Dans Une Revue Kybernetika Année : 2000

Fuzzy decision trees to help flexible querying.

Résumé

Fuzzy data mining by means of the fuzzy decision tree method enables the construction of a set of fuzzy rules. Such a rule set can be associated with a database as a knowledge base that can be used to help answering frequent queries. In this paper, a study is done that enables us to show that classification by means of a fuzzy decision tree is equivalent to the generalized modus ponens. Moreover, it is shown that the decision taken by means of a fuzzy decision tree is more stable when observation evolves.
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Dates et versions

hal-01184457 , version 1 (14-08-2015)

Identifiants

  • HAL Id : hal-01184457 , version 1

Citer

Christophe Marsala. Fuzzy decision trees to help flexible querying.. Kybernetika, 2000, 36 (6), pp.689-705. ⟨hal-01184457⟩
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