International Journal of Man-Machine Studies - Special Issue: Knowledge Acquisition for Knowledge-based Systems. Part 5
Proximity relations in the fuzzy relational database model
Fuzzy Sets and Systems
Functional dependencies and normal forms in the fuzzy relational database model
Information Sciences: an International Journal
C4.5: programs for machine learning
C4.5: programs for machine learning
Data mining: concepts and techniques
Data mining: concepts and techniques
A relational model of data for large shared data banks
Communications of the ACM
On extended fuzzy relational model with proximity relations
Fuzzy Sets and Systems
Principles and Applications
Machine Learning
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
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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.