Linguistic Summaries of Time Series via a Quantifier Based Aggregation Using the Sugeno Integral

Linguistic summaries as descriptions of trends in time series data are proposed. Two general types of such summaries are discussed. The point of departure are linguistic summaries of databases due to Yager. The specificity of time series summarization requires a more general approach to linguistic quantifier based aggregation. Sugeno integrals are employed to address this problem.