  In present paper we suggest a new universal approach to study complex systems
by microscopic, mesoscopic and macroscopic methods. We discuss new
possibilities of extracting information on nonstationarity, unsteadiness and
non-Markovity of discrete stochastic processes in complex systems. We consider
statistical properties of the fast, intermediate and slow components of the
investigated processes in complex systems within the framework of microscopic,
mesoscopic and macroscopic approaches separately. Among them theoretical
analysis is carried out by means of local noisy time-dependent parameters and
the conception of a quasi-Brownian particle (QBP) (mesoscopic approach) as well
as the use of wavelet transformation of the initial row time series. As a
concrete example we examine the seismic time series data for strong and weak
earthquakes in Turkey ($1998,1999$) in detail, as well as technogenic
explosions. We propose a new way of possible solution to the problem of
forecasting strong earthquakes forecasting. Besides we have found out that an
unexpected restoration of the first two local noisy parameters in weak
earthquakes and technogenic explosions is determined by exponential law. In
this paper we have also carried out the comparison and have discussed the
received time dependence of the local parameters for various seismic phenomena.
