The intellectual system for the results of sociological research analysis and prognostication
Keywords:
sociological research; intelligent system; extrapolation; neural networksAbstract
The work is devoted to the analysis and forecasting of sociological researches results by means of the intellectual system, analysis of the basic problems and methods of their decision arising in the course of information processing of various formats of sociological data. The definition of the concept of «sociological research» is performed and the importance of correct adaptation of the structure of filling the research result us analyzed. The priority methods of raw sociological data processing for their further analysis and forecasting are demonstrated. The intelligent system in the Python programming language with an interface for analyzing and predicting the results of sociological research using analytical extrapolation, namely a power polynomial and neural networks, has been developed.
References
Ядов В. А. Социологическое исследование: методология, программа, методы: учеб. пособие. Москва : Наука, 2007. 328 с.
Кириленко В. І. Методологія сучасної економічної науки: генеза, суперечливості та напрями розвитку. Київ, 2015. URL: http://securities.usmdi.org/?p=22&n=91&s=936 (дата звернення: 19.03.2019).
Sotirios Sarantakos, Social Research: Macmillan International Higher Education, 2012. 536 p.
Вербець В. В. Методологія та методика соціологічних досліджень: навч. посіб. Рівне : РДГУ, Інститут соціальних досліджень, 2006. 167 c.
Сурмин Ю. П., Туленков Н. В. Методология и методы социологических исследований: учеб. пособие. К.: МАУП, 2000. 304 с.
Donald Khosrowi. Extrapolation of causal effects – hopes, assumptions, and the extrapolator’s circle: Published online: 07 Jan 2019. – 45–58 p. – URL: https://www.tandfonline.com/doi/full/10.1080/ 1350178X.2018.1561078
