Effective Tuning of Membership Function Parameters in Fuzzy Systems Based on Multi-Valued Interval Logic

The problem of increasing the efficiency of decision making regarding the state of a biophysical object is solved with the use of the computing intelligence apparatus. The architecture of the tools is proposed, which is based on the principles of an advanced method of tuning the parameters of the membership function, taking into account the uncertainty or lack of data, as well as the features and limitations of the subject area of application. The developed tools make it possible to generate and evaluate several alternatives in the solution space, to treat contradictions in the registered data. Software applications for setting the parameters of membership functions with the introduction in the medical field have been developed by means of object-oriented programming. Laboratory operation of the proposed tools confirmed the increase in the reliability of decision-making up to 20%.