Fuzzy inference systems by genetic algorithm and factor analysismodeling for multivariate complex systems

摘要

The authors propose a system which can automatically learn causalrelation for multivariate complex problems by use of fuzzy inference andgenetic algorithm. It has been difficult to infer the correct resultsfrom a lot of input variables by using only the fuzzy inference. Wefirst concentrate many variables into a few variables of the input offuzzy inference by factor analysis. Secondly, the genetic algorithm anddelta rule are used to adjust and learn the fuzzy inference rules. Weapply this system to human behavioral system with many input variables.By this causal modeling, we can identify the complex human system moreprecisely than the regression analysis generally used