News
Special session in IPMU 2018
Special session on Fuzzy Logic and Artificial Intelligence Problems in IPMU 2018, which will be held in Cádiz, Spain.
Special session in 2017 FUZZ-IEEE Conference
We are organizing a special session on Linguistic summarization and description of data for next 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017), which will be held in Naples, Italy.
Special session in 2016 FUZZ-IEEE Conference
We are organizing a special session on Linguistic summarization and description of data for next 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), within the IEEE World Congress on Computational Intelligence (IEEE WCCI) which will be held in Vancouver, Canada (25-29 July).
2015 FUZZ-IEEE Conference
The 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), one of the leading international conferences in the field of fuzzy sets and systems, will be held in Istanbul, Turkey. We have organized a special session on Linguistic summarization and description of data.
2015 IFSA-EUSFLAT Conference
The 16th World Congress of the International Fuzzy Systems Association (IFSA) and the 9th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT) are jointly held in Gijón, Asturias (Spain). We have organized a special session on Linguistic Description of Data: A field for the convergence between Soft Computing and Linguistics.
Paper on GLIDTS published in Fuzzy Sets and Systems
On generating linguistic descriptions of time series, by N. Marín and D. Sánchez
In this paper we provide a general approach for the concepts and processes related to the generation of linguistic descriptions of time series. As we will see, this approach consists of two main tasks, namely, a knowledge extraction task, which can be seen as a Knowledge Discovery in Databases (KDD) procedure, and a linguistic expression process. The presented approach incorporates as a core element a description model, which is based on three pillars: a knowledge representation formalism, an expression language, and a quality framework. In the paper, we also analyze the main tools and techniques that can be used regarding the mentioned tasks and pillars of the generation of linguistic descriptions of time series. Additionally, we provide a deep review of the main contributions in the area, which come mainly from the fields of Natural Language Generation (NLG) and Fuzzy Sets and Systems. The existing and potential contributions of fuzzy sets and extensions are discussed in detail. Together with the application of KDD techniques, we encourage the cooperation of the Fuzzy Sets and the NLG communities in order to provide a significant step forward in the development of systems for providing linguistic descriptions of time series data.
