SAMPLING QUALITATIVE AND FUZZY VARIABLES AS A TOOL FOR THE GENERAL SYSTEM PROBLEM SOLVER

Abstract

An important phase in the application of the General System Problem Solving framework (GSPS∥ is the choice of the sampling frequency of relevant variables. Optimal sampling frequency is generally a compromise between our endeavour to catch all dynamical changes of a signal without having redundant samples. This problem is not completely solved for crisp metric variables and very little is known about sampling qualitative and fuzzy variables. In this paper, one possible approach based on the data compression is suggested for determining the optimal sampling frequency of ordinal and nominal variables. The submitted approach can be on the specific conditions extended for the fuzzy variables also