A proposal of smart means to retrieve impressively-referred document-page

Watanabe, Toshio

doi:10.1145/2701126.2701233

Cited by 1 publication

(1 citation statement)

References 16 publications

(22 reference statements)

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“…Many authors [5] [6] [7] [8] thus claim that temporal operators are the minimum requirement to describe scenarios or complex events. For instance, in classical logic, Allen relations [9] have lead to successful applications [10] [11] [12] of scenario recognition. More recently, Dousson [13] distinguished two families of scenarios recognition algorithms: Store Totally Recognized Scenarios (STRS) strategy which aims at analyzing only past events and Store Partially Recognized Scenarios (SPRS) strategy which is able to prospect for upcoming events.…”

Section: Introductionmentioning

confidence: 99%

Online temporal reasoning for event and data streams processing

Poli

Boudet

Mercier

2016

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

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Online fuzzy expert systems can be used to process data and event streams, providing a powerful way to handle their uncertainties and their inaccuracy. Moreover, human experts can decide how to process the streams with rules close to natural language. However, to extract high level information from these streams, they need at least to describe the temporal relations between the data or the events.In this paper, we propose a straightforward way to design temporal operators which relies on the mathematical definition of some base operators and then their combination into more sophisticated operators to assess precedence, periodicity or persistence. We also introduce the concept of expiration of temporal expressions on online fuzzy expert systems, that is to say the capacity to change the values of outputs whereas the inputs have not changed.

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