Fuzzy Time in LTL
Achille Frigeri, Liliana Pasquale, Paola Spoletini

TL;DR
This paper introduces FTL, a fuzzy-time temporal logic framework that allows expressing vague temporal constraints in active systems, addressing the limitations of existing fuzzy temporal languages.
Contribution
It formalizes fuzzy temporal modalities within a sound semantics, enabling flexible and accurate modeling of temporal vagueness in systems with uncertain data.
Findings
FTL reduces to LTL when all events are crisp.
The semantics of FTL is sound and respects mutual relations among modalities.
Identifies sets of temporal operators for various fuzzy interpretations.
Abstract
In the last years, the adoption of active systems has increased in many fields of computer science, such as databases, sensor networks, and software engineering. These systems are able to automatically react to events, by collecting information from outside and internally generating new events. However, the collection of data is often hampered by uncertainty and vagueness that can arise from the imprecision of the monitoring infrastructure, unreliable data sources, and networks. The decision making mechanism used to produce a reaction is also imprecise, and cannot be evaluated in a crisp way. It depends on the evaluation of vague temporal constraints, which are expressed on the collected data by humans. Despite fuzzy logic has been mainly conceived as a mathematical abstraction to express vagueness, no attempt has been made to fuzzify the temporal modalities. Existing fuzzy languages do…
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Taxonomy
TopicsPower Systems and Technologies · Natural Language Processing Techniques · Speech and dialogue systems
