Please use this identifier to cite or link to this item: https://dspace.uzhnu.edu.ua/jspui/handle/lib/61108
Title: Information Technology Development for Social Services Consumers' Choice.
Authors: Tokar, Marian
Mulesa, Oksana
Radivilova, Tamara
Yatsyna, Olena
Shnitser, Mariia
Keywords: Conceptual scheme of data processing, sociology, methods of filtering and selection, product rules, fuzzy inference, linguistic variables
Issue Date: 21-Nov-2023
Publisher: Information Technology and Implementation (IT&I-2023), Kyiv, 2023
Citation: Mulesa, O., Tokar, M., Radivilova, T., Yatsyna, O., Shnitser, M. (2023). Information Technology Development for Social Services Consumers' Choice. CEUR Workshop Proceedings. Conference Paper, 2023, 3624, pp. 58–68.
Abstract: The problem of processing and analyzing data in selecting consumers for the provision of social services is considered. The specifics of the actors' interaction in determining the rules and limitations for such analysis are identified. Methods and algorithms for data analysis that can be used to select or filter out potential consumers of social services are developed. The algorithm of the developed combined method of calculating scores to form a set of social service consumers based on the analysis of their socio-demographic portraits is illustrated. The algorithm of the adapted fuzzy consumer selection method using the procedure of fuzzy logical inference is presented.
Type: Text
Publication type: Стаття
URI: https://dspace.uzhnu.edu.ua/jspui/handle/lib/61108
Appears in Collections:Наукові публікації кафедри соціології і соціальної роботи

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