Abstract
Through the process of using the MT system to determine changes in states of human fatigue as part of a study of foot-bathing effect, it was found that human fatigue can be quantified. Based on this result, the MT method was used to determine fatigue distance changes from an L108 orthogonal array and find trends in changes in state of fatigue, taking into account a total of 110 factors,including seven factors such as day, time, and age, twenty-four physical factors,seventeen lifestyle factors, and sixty-two factors of the type found on Kampo diagnostic questionnaires. Relationships between the factors and everyday fatigue changes were also studied by diagnosing the factors separately. Many of the fatigue changes related with individual factors can be predicted from experience, but fatigue changes that are not necessarily easy to predict were measured. Fatigue changes due to individual factors, however, were minimal. In terms of distance, the effect of a single factor is only 0.05, equivalent to the effect of climbing or descending an eight-step flight of stairs. It is numerical demonstrated that fatigue arises from complex interactions of many such factors.
