Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Dedicated to the 60th birthday of Etienne E. Kerre
Unsupervised pattern mining from symbolic temporal data
ACM SIGKDD Explorations Newsletter - Special issue on data mining for health informatics
Temporal reasoning about fuzzy intervals
Artificial Intelligence
Qualitative temporal reasoning about vague events
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Efficient algorithms for fuzzy qualitative temporal reasoning
IEEE Transactions on Fuzzy Systems
GeTS: a specification language for geo-temporal notions
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Modeling geospatial events and impacts through qualitative change
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
Computational treatment of temporal notions: the CTTN-system
Proceedings of the 2005 international conference on Annotating, extracting and reasoning about time and events
Determining relevance of imprecise temporal intervals for cultural heritage information retrieval
International Journal of Human-Computer Studies
Fuzzy time intervals system description of the FuTI–Library
PPSWR'06 Proceedings of the 4th international conference on Principles and Practice of Semantic Web Reasoning
Bipolar fuzzy querying of temporal databases
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
Imprecise temporal interval relations
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Analysis of real-time system conflict based on fuzzy time Petri nets
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Time intervals like ýtonightý, which are usually not very precise, can be modeled as fuzzy sets. But this causes the problem that the relations between points and intervals and between two intervals, which are usually very trivial, become very complex when the intervals are fuzzy sets. Moreover, there are many different possibilities to define such relations. In this paper a very flexible operator-based approach to point - interval and interval - interval relations is proposed, where the intervals are fuzzy time intervals over the real numbers. The relations yield non-trivial fuzzy values even if the intervals are crisp. As an example for an application, consider a database with, say, a cinema timetable, and you query the timetable "give me all performances ending before midnight". The usual ýbeforeý relation will exclude the performances ending a second after midnight. With the fuzzy before relation you can get instead of a sharp drop to 0 at midnight decreasing fuzzy values after midnight, and these can be used to order the results of the query. The intervals and relations are implemented in the FuTIRe library (Fuzzy Time Intervals and Relations). FuTIRe is an open source C++ library.