Technique for restoration of socio-economic data based on fuzzy formalization
Abstract
Technique for restoration of socio-economic data based on fuzzy formalization
The problem of restoring gaps in socio-economic data. Used konnektivistskie principles describe multilevel relationships between socio-economic targets for restoring missing data. Proposed fuzzy method of filling gaps in the data socio-economic parameters based on the analysis and formalization in terms of fuzzy logic relationships between the parameters of the same type in other network objects. To justify the effectiveness of an example implementation of the method on data from rural areas of the Volgograd region.
Keywords: socio-economic parameters, gaps in data, fuzzy logic, data recovery.Keywords: