Real-time fuzzy logic-based sport activity risk calculation model optimization

Abstract

In real-time systems the evaluation structure complexity is a key factor, since it depends on the evaluation time whether the result is available in time. In this paper a modification of the conventional Mamdani-type inference system is introduced, which combines the advantages of the Mamdani and Takagi-Sugeno systems. It is computationally cheaper than the original method, thus the response time is shorter, while the intuition can be built into the system. These characteristics make this system suitable to use in real-time risk calculation. This modified inference structure is used in the authors' sport activity risk calculation model. Due to this modification and the use of the HOSVD-based complexity reduction, it can be operated anytime manner to cope with the temporal conditions. In this way the evaluation time can be significantly reduced. The input membership functions are tuned in the system in a patient-specific way to obtain more reliable result. This tuning is performed before the real-time evaluation.