Analysis of RF Healthcare System Development Based on Fuzzy Public Opinion Modelling
Abstract
This article deals with the assessment of the situation in the Russian Federation healthcare. To solve the problem, a fuzzy model has been built, which maps fuzzy data of the public opinion polls conducted by Russian Public Opinion Research Centre (VCIOM) into the clear number, expressing the immense assessment of the poll result. Modelling revealed a very negative trend in the research area; the trend has been developing since 2014. The main reasons of the current situation are a dramatic reduction of medical institutions, erroneous legal regulation and personnel policy. The methodology and vision statement of the major mechanisms have been proposed, which are helpful in solving the problems in the field of the Russian Federation healthcare.
Keywords
healthcare, the Russian Federation, fuzzy logic, simulation, modelling, public opinion pollText
DOI
10.12783/dtssehs/icpcs2020/33897
10.12783/dtssehs/icpcs2020/33897