This volume presents the results of approximately 15 years of work from researchers around
the world on the use of fuzzy set theory to represent imprecision in databases. The maturity …

This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …

In this paper, a fuzzy Object‐Oriented Data model (FOOD) is defined based on the extension
of a Graph‐based Object model (D. Lucarella and A. Zanzi “A graph‐oriented data model,” …

Querying for information is a commonality between databases and information retrieval
systems. For both areas, there are a variety of issues relative to representation of uncertainty …

This paper fully develops a previous approach by George et al.(1993) to modeling
uncertainty in class hierarchies. The model utilizes fuzzy logic to generalize equality to …

Database systems which have a semantically rich underlying database model, can offer
better, more user‐friendly facilities to model applications more efficiently and more truthfully …

This chapter will present the use of fuzzy set theory in databases. Particular emphasis is on
the relational data model and possibility and similarity based approaches to representation …

The requirements of complex applications in the world of object‐oriented databases have
motivated the study of the addition of vagueness to the existing models, giving rise to …

Uncertainty modeling and data manipulation are desirable in object-oriented database
systems to handle complex objects with imprecise properties. In this paper, we present an …

Fuzzy types have been developed as a new way of managing fuzzy structures. With types of
this kind, properties are ordered on different levels of precision or amplitude, according to …