This book presents the advancements and applications of neutrosophics, which are
generalizations of fuzzy logic, fuzzy set, and imprecise probability. The neutrosophic logic …

Trio is a new database system that manages not only data, but also the accuracy and
lineage of the data. Approximate (uncertain, probabilistic, incomplete, fuzzy, and imprecise!) …

This paper explores an inherent tension in modeling and querying uncertain data: simple,
intuitive representations of uncertain data capture many application requirements, but these …

In valid-time indeterminacy it is known that an event stored in a database did in fact occur,
but it is not known exactly when. In this paper we extend the SQL data model and query …

Conventional data integration techniques employ a “top-down” design philosophy, starting
by assessing requirements and defining a global schema, and then mapping data sources …

Real-world databases are often inconsistent. Although there has been an extensive body of
work on handling inconsistency, little work has been done on measuring inconsistency in …

Handling conflicting information is an important challenge in AI. Measuring inconsistency is
an approach that provides ways to quantify the severity of inconsistency and helps …

In general terms, an uncertain relation encodes a set of possible certain relations. There are
many ways to represent uncertainty, ranging from alternative values for attributes to rich …

At a workshop held in Toulouse, France in 1977, Gallaire, Minker and Nicolas stated that
logic and databases was a field in its own right (see [131]). This was the first time that this …

This paper describes a generalization of the relational model in order to capture and
manipulate a type of probabilistic information. Probabilistic databases are formalized by …