Geodesic
Fuzzy decision trees to help flexible querying
Kybernetika, Tome 36 (2000) no. 6, p. [689].

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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.
Classification : 03B52, 68P05, 68P15, 68P20, 68T05, 68T37
Keywords: fuzzy data mining; fuzzy decision trees 
@article{KYB_2000__36_6_a5,
     author = {Marsala, Christophe},
     title = {Fuzzy decision trees to help flexible querying},
     journal = {Kybernetika},
     pages = {[689]},
     publisher = {mathdoc},
     volume = {36},
     number = {6},
     year = {2000},
     zbl = {1249.68260},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/KYB_2000__36_6_a5/}
}
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Marsala, Christophe. Fuzzy decision trees to help flexible querying. Kybernetika, Tome 36 (2000) no. 6, p. [689]. http://geodesic.mathdoc.fr/item/KYB_2000__36_6_a5/