Developing an algorithm of fuzzy adaptive management project metadata
Abstract
Developing an algorithm of fuzzy adaptive management project metadata
Based machine adaptation developed an algorithm that adaptively adjust the parameters of the membership function of design data. Adjustment parameters of the membership function is proposed based on the analysis of the reaction of the designer on the query results. This approach allows you to adjust power supplies design solutions to the corresponding values of logical variables based on subjective opinions of experts consecutive. The presence of a mechanism of adaptation helps to reduce the impact of one-off, drop out of the general concept, opinions.
Keywords: automatic adaptation fuzzy data correction.Keywords: