The ionosonde is a digital instrument that measures the electron density of the lower ionosphere by radio frequency, obtaining a result a frequency spectra as a function of time called ionograms. The ionosphere can be analyzed by studying a few critical parameters that indicate the height of the base layer F (h'F), the peak electron density frequency in the F layer (foF2) and the height of peak electron density in the layer F (hpF2). To date, these parameters are extracted from ionograms in a manual and on the analyst interpretation. Due to the large amount of data collected by the ionosonde there is a need of automation of this process of collection and analysis. This paper proposes a model of decision support for the process of analyzing data collected by ionosonde for the purpose of raising the capacity building of ionospheric data. The implementation of decision support model was structured in two parts: the first part proposes a fuzzy logic approach to the problem of data binding, considering the different ionospheric layers. The second part proposes the use of fuzzy relation as a framework for the construction of the rules of a fuzzy expert system. This work addresses the first part of the model.
fuzzy logic; fuzzy relation; ionogram; ionosphere
