The representation problem in a continuous form of discrete quantitative data on the basis of development of the phenomenological models characterizing changing processes of difficult systems conditions is studied. The method of such models creation is offered according to temporal databases using the idea of the description these states given in continual spaces. At the same time discrete quantitative information is considered in the form of multidimensional selection of data experience from the continuous hypothetical environment characterizing objects conditions on a set of indicators which in turn are considered as variable conditions of objects. Dependences for the phenomenological analysis of experimental data are formulated. For example, processing of social and economic information on a condition and development of Russian cities with the population more than 100 thousand people is executed. It is shown that for spaces of systems conditions the mathematical functions of entropy and potential can be offered. Their sense is connected with introduction of natural curvilinear coordinates in continual spaces. These values consider features of discrete representation of information and form the continuous regularities reflecting variables interrelation according to experimental data. The received results allow to develop methods of empirical data processing.
Gennadiy V. Averin, Anna V. Zviagintseva, Maria V. Shevtsova and Liliana N. Kurtova. On Representation of Discrete Information of Temporal Databases in the Continuous Form.
DOI: https://doi.org/10.36478/jeasci.2017.3884.3889
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.3884.3889