Linguistic Summarization of Time Series by Using the Choquet Integral

We further extend a new approach to a linguistic summarization of time series proposed in our previous works (cf. Kacprzyk, wilbik and zadrożny [1,2,3,4,5]) in which we put forward the use of a fuzzy linguistic quantifier driven aggregation of trends (partial scores) via the traditional zadeh calculus of linguistically quantified propositions and the sugeno integral. Here we use for this purpose the choquet integral that has been widely advocated for many decision analytic and economic problems. The results are intuitively appealing and the method is effective and efficient.keywordslinguistic termmean absolute deviationfuzzy measurelinguistic labelpartial scorethese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.