Capturing the Essence of a Dynamic Behavior of Sequences of Numerical Data Using Elements of a Quasi-natural Language

The purpose of this paper is to propose a new, human consistent way to capture the very essence of a dynamic behavior of some sequences of numerical data. Instead of using traditional, notably statistical type analyses, we propose the use of fuzzy logic based linguistic summaries of data(bases) in the sense of Yager, later developed by Kacprzyk and Yager, and Kacprzyk, Yager and Zadrozny. Our main interest is in the summarization of trends characterized by: dynamics of change, duration and variability. We mainly apply Zadeh´s fuzzy logic based calculus of linguistically quantified propositions that may be viewed as an element of his computing with words and perceptions paradigm.