Derivation digraphs for dependencies in ordinal and similarity-based data

@article{Urbanova2014DerivationDF,
  title={Derivation digraphs for dependencies in ordinal and similarity-based data},
  author={Lucie Urbanova and Vil{\'e}m Vychodil},
  journal={Inf. Sci.},
  year={2014},
  volume={268},
  pages={381-396}
}
We present graph-based method of reasoning with if-then rules describing dependencies between attributes in ordinal and similarity-based data. The rules we consider have two basic interpretations as attribute implications in object-attribute incidence data where objects are allowed to have attributes (features) to degrees and as similarity-based functional dependencies in an extension of the Codd model of data. Main results in this paper show that degrees to which if-then rules are semantically… CONTINUE READING