An estimation of a model explaining the mechanism causing neurotic disorders using a theory of fuzzy sets.

Constructing and estimating a model to explain the mechanism of neurotic disorders is important and significant. The model helps the rearrangement or representation of knowledge obtained from professional physicians. However, it is a very difficult problem, because the objects requiring analysis are mental activities of human beings, and they originally include a comparatively large variance between individuals. The object data were obtained from patients with neurotic disorders who were diagnosed by several doctors for 10 years in a subagricultural areas in Japan. We analyzed the data and calculated the weights attached for personal information depending upon the similarity between the information and the kinds of neurotic disorders using the theory of fuzzy sets. From the results of our analysis, we constructed and estimated a model explaining the mechanism causing neurotic disorders as several linear equations. From data processing points of view, the estimation we attempted is placed in a kind of effective data compression with respect to discrete statistical data.