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
- 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.
- Copyright
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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 - 10.2991/ifsa-eusflat-15.2015.190 ID - Bugarin2015/06 ER -