摘要
This article analyzes in complex systems the web of variables that constitute the formation and behavior of an event organizing it in several probabilities. Based on the current statistical methodologies, multifactorial analysis associated with fuzzy logic, complex phenomena are analyzed by stating the influence of a variable to others and possibly indicating how complexity works. However, these analyzes have limitations regarding the scope of the samples considering the mechanics of an event determined only by the non-physical quantitative properties of variables. The mentioned limits, refers to not considering the measurement of the variable’s interactions influence in the event by analyzing the frequencies in which the interactions affect the formation and behavior of the expected event. Considering that interactions take place in the physical world, they can present non-observable physical features that influence the event. This observation can point out the periodic function in the production of the complex events that can be observed considering the frequency with which the analyzed event occurs in its physical quantitative characteristics.
This article analyzes in complex systems the web of variables that constitute the formation and behavior of an event organizing it in several probabilities. Based on the current statistical methodologies, multifactorial analysis associated with fuzzy logic, complex phenomena are analyzed by stating the influence of a variable to others and possibly indicating how complexity works. However, these analyzes have limitations regarding the scope of the samples considering the mechanics of an event determined only by the non-physical quantitative properties of variables. The mentioned limits, refers to not considering the measurement of the variable’s interactions influence in the event by analyzing the frequencies in which the interactions affect the formation and behavior of the expected event. Considering that interactions take place in the physical world, they can present non-observable physical features that influence the event. This observation can point out the periodic function in the production of the complex events that can be observed considering the frequency with which the analyzed event occurs in its physical quantitative characteristics.
