A New Fuzzy Integral Model for Control Systems: Adaptive Fuzzy Integral

In this study, a new fuzzy integral model with adaptation capability called as “Adaptive Fuzzy Integral” was proposed to use in particularly control systems instead of conventional fuzzy integral. Until now, in the fuzzy integral applications, the fuzzy density values of control criterias were defined fixed. But this structure is not suitable for dynamic characteristic of control systems. Therefore in this study, an adaptive structure has obtained by updating of density values in run time. Furthermore, a robust decision-making model has created because of this adaptation is based on fuzzy logic process. The basic idea underlying the proposed model is the fuzzy density values are not fixed in the subjective evidence function. The each criteria’s important degree is adapted by a membership function which has suitable parameters according to relevant criteria in run time.