Galois Connection in Fuzzy Binary Relations, Applications for Discovering Association Rules and Decision Making.
作者： Ali Jaoua , Samir Elloumi , Sadok Ben Yahia , Faisal Alvi
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摘要: Galois connection in crisp binary relations has proved to be useful for several applications computer science. Unfortunately, data is not always presented as a relation but may composed of fuzzy values, thus forming relation. This paper aims at defining the notion galois corresponding two steps: firstly by term maximal rectangle and secondly, extending lattice structure relations. Applications concerning discovery association rules decision making are also presented.
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