TrPM: A Linguistic Petri Nets module to describe the trends of a time series | IEEE Conference Publication | IEEE Xplore

TrPM: A Linguistic Petri Nets module to describe the trends of a time series


Abstract:

Linguistic Petri Net (LPN) is a method to generate linguistic descriptions, which maintains the way that Petri Nets (PNs) work along with the mechanisms necessary to gene...Show More

Abstract:

Linguistic Petri Net (LPN) is a method to generate linguistic descriptions, which maintains the way that Petri Nets (PNs) work along with the mechanisms necessary to generate linguistic descriptions of systems. This paper presents a new LPN module, called the Trends Processing Module (TrPM), to generate linguistic descriptions of trends in a time series. This takes the series as an input and returns a sequence of places that represent in detail each one of the trends of the series, which allows us to generate the description. A public dataset has been used to test the presented module. The designed module can be used to design another more complex LPNs that need an approximate model of the trends of a time series.
Date of Conference: 19-24 July 2020
Date Added to IEEE Xplore: 26 August 2020
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Conference Location: Glasgow, UK

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