Abstract
Life-style related diseases is diagnosed for a great number of medical examination patients by medical specialist. However, since there are few medical specialists of medical examination, medical practitioners who have more or less special knowledge of life-style related diseases often diagnose patients. Therefore, there is need for support system that can understand special knowledge easily. In this paper, we propose a method of diagnosis support system construction for life-style related diseases based on the fuzzy theory that make possible induction of human consideration. This system consists of mainly both knowledge and reasoning divisions The knowledge division is constructed on knowledge date-base that decides abnormal degree of each examination item with knowledge of medical specialist and statistical analysis. The reasoning division consists of evaluation by using choquet integral with fuzzy measure and fuzzy inference. The present improvement suggestions for life-style related diseases are obtained from the execution result of this system that medical practitioners and patients can easily understand.
