On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases

  • Rafal A. Angryk
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4029)


In this paper, we propose two new ways to interpret uncertain information reflected by non-atomic descriptors. We focus our research on data stored in a proximity-based fuzzy relational database as the database provides convenient mechanisms for recording and interpretation of uncertain information. In proximity-based fuzzy databases the lack of certainty about obtained information can be reflected via insertion of non-atomic attribute values. In addition, the database extends classical equivalence relations with fuzzy proximity relations, which provide users with interesting analytical capabilities. In this paper we concentrate on both of these properties when proposing new approaches to interpretation of non-atomic values for decision making purposes.


Decision Rule Wait Time Food Type Proximity Relation Partition Tree 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rafal A. Angryk
    • 1
  1. 1.Department of Computer ScienceMontana State UniversityBozemanUSA

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