Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Fuzzy Knowledge Representation for Linguistic Description of Time Series

Authors
Alberto Bugarin, Nicolas Marín, Daniel Sánchez, Gracian Trivino
Corresponding Author
Alberto Bugarin
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.190How to use a DOI?
Keywords
Linguistic description of data, time series, knowledge representation, protoforms, granular linguistic model of a phenomenom, fuzzy temporal knowledge representation models, fuzzy temporal rules.
Abstract
The linguistic description of data intends to provide texts that convey the most important information contained in the data. One of the main tasks to be carried out in order to build a linguistic description is the extraction and representation of the knowledge to be transmitted. To perform this task, adequate mechanisms for knowledge representation are needed. In this paper we focus on time series data and analyze three knowledge representation languages that arise in the field of Fuzzy Sets Theory, particularly Computing with Words and Perceptions: the use of Protoforms, the Granular Linguistic Model of a Phenomenon and, specially, the use of Fuzzy Temporal Knowledge Representation Models.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Alberto Bugarin
AU  - Nicolas Marín
AU  - Daniel Sánchez
AU  - Gracian Trivino
PY  - 2015/06
DA  - 2015/06
TI  - Fuzzy Knowledge Representation for Linguistic Description of Time Series
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1346
EP  - 1353
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.190
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.190
ID  - Bugarin2015/06
ER  -