Towards a general theory of action and time
Artificial Intelligence
A pattern matching language for spatio-temporal databases
CIKM '94 Proceedings of the third international conference on Information and knowledge management
Maintaining knowledge about temporal intervals
Communications of the ACM
Imprecision in Finite Resolution Spatial Data
Geoinformatica
Reasoning with Disjunctive Fuzzy Temporal Constraint Networks
TIME '02 Proceedings of the Ninth International Symposium on Temporal Representation and Reasoning (TIME'02)
Fuzzy Temporal Interval Relationship Based on Interval-Valued Fuzzy Sets
FSKD '07 Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 01
Advances in fuzzy rough set theory for temporal databases
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
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Time is a basic measure used to quantify the motions of objects, to compare the durations of events, and to sequence events. Temporal behaviors of spatial objects have occupied geoinformatic's minds and this motivation can be seen in temporal GIS (Geospatial Information System) and navigation. This article focuses on a mathematical abstraction for calculating periods of time. Uncertainty in temporal intervals is considered and temporal relationships are defined based on rough set theory as a powerful device to handle the indeterminate time interval.