Research on methods for modifying membership functions of fuzzy sets based on pattern
Abstract:
Fuzzy set membership functions are widely used to reflect expert preferences in situations of uncertainty. Procedures for modifying membership functions provide the opportunity to obtain new functions based on existing ones without the additional involvement of experts. The work examines existing and proposes new approaches to the construction of modification procedures, methods for their implementation and compensation for the difficulties arising in this case.
Keywords:
fuzzy set, membership function, expert, modifier
Publication language:russian, pages:19
Research direction:
Mathematical modelling in actual problems of science and technics
