Abstract: A method of supporting decision-making for predicting future time-series data by using measured values of time-series data stored in a storage and knowledge stored in a knowledge base. The knowledge is related to interpretation and prediction of the time-series data. A plurality of time-series data stored in the storage device is prepared in an order of time-serial points corresponding to the time-series data. Knowledge which includes reference to the time-series data using a relative time interval from the time-series data is stored to the knowledge base. One the time-serial points of the time-series data is designated. Thereafter, the relative time interval in the knowledge is subtracting from the designated time-serial point to determine the time-serial point corresponding to the time-series data, and the future time-series data is inferred by using the knowledge and the time-series data.

Abstract: A method of supporting the decision-making on the basis of a table type data is disclosed, which comprises the processes of defining a knowhow relating to the interpretation of the table type data, storing the knowhow in a storage unit, effecting the reasoning by application of the knowhow thus defined, and evaluating the knowhow thus defined. (a) Information is applied by way of an input unit for starting any of the process of defining a knowhow, effecting the reasoning by application of the knowhow and ending the system process, (b) the information thus inputted is discriminated to execute a corresponding process of operation, and (c) if the corresponding process of operation is other than ending, the process is returned to step (a).