Abstract:
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 ...Show MoreMetadata
Abstract:
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.
Published in: 2006 IEEE International Conference on Fuzzy Systems
Date of Conference: 16-21 July 2006
Date Added to IEEE Xplore: 11 September 2006
Print ISBN:0-7803-9488-7
Print ISSN: 1098-7584
Contents 