Uncertainty extensively exists in data and knowledge intensive applications, in which fuzzy
information processing plays a crucial role. Fuzzy sets have been extensively used to …

Fuzzy set theory has been extensively applied to extend various data models and resulted in
numerous contributions, mainly with respect to the popular relational model or to some …

In this paper, based on possibility distribution and the semantic measure of fuzzy data, we
introduce an extended object-oriented database model to handle imperfect as well as …

Fuzzy set theory has been extensively applied to extend various database models and
resulted in numerous contributions, mainly with respect to the popular relational model or to …

Entity‐relationship–extended entity‐relationship models play a crucial role in the conceptual
design of relational databases as well as object‐oriented databases. Recently, several …

In reality, a lot of information is available only in an imperfect form. This might be due to
imprecision, vagueness, uncertainty, incompleteness, or ambiguities. Traditional database …

When a multi-UAV is performing a mission, the information obtained by the commander
could be highly uncertain. How to choose strategies based on uncertain information will …

Computer applications in non-traditional area have put requirement on conceptual data
modeling. Some conceptual data models, being the tool of design databases, have been …

Conceptual data modeling has become essential for non-traditional application areas. Some
conceptual data models have been proposed as tools for database design and object …

In this paper, we present a new method, called multiview fuzzy querying, which permits to
query incomplete, imprecise and heterogeneously structured data stored in a relational …