JUSTIFICATION OF HEURISTIC METHODS IN DATA PROCESSING USING FUZZY THEORY WITH APPLICATIONS TO DETECTION OF BUSINESS CYCLES FROM FUZZY DATA

Abstract

In this paper, we show that fuzzy theory can explain heuristic methods in inverse problems and numerical computations. As an example of application of these results, we analyze the problem of detecting business cycles from fuzzy data.