Correction of the Knowledge Database of Fuzzy Decision Support System with Variable Structure of the Input Data

Abstract

The review of the existing approaches and algorithms for designing DSS based on fuzzy logic in case of changing the structure of the vector of the input data is considered in the paper. There was presented the own approach, which lies in correction (editing) the rules of fuzzy knowledge bases at different number of input coordinates of the system. Simulation results confirm the effectiveness and appropriateness of use of the algorithms of editing the rules of fuzzy knowledge bases in the process of DSS designing for management decision- making, particularly in solving problems of transport logistics.