Application of Fuzzy Set Theory in the Distribution of Information Flows of a Network Information System

• Published in: Journal of information and organizational sciences Vol. 45; no. 1; pp. 77 - 94
• Main Authors: Rubtsov, Alexander V, Levshina, Violetta V, Mamaeva, Svetlana V, Khramova, Ludmila N, Khramov, Igor V
• Format: Journal Article
• Language: English
• Published: Varazdin Faculty of organization and informatics, University of Zagreb 01.01.2021; Fakultet organizacije i informatike, Sveučilište u Zagrebu; Sveuciliste u Zagrebu, Fakultet Organizacije i Informatike; University of Zagreb, Faculty of organization and informatics
• Subjects: Empirical analysis; Fuzzy logic; Fuzzy set theory; Fuzzy sets; ICT Information and Communications Technologies; Information flow; information flows; Information systems; Mathematical analysis; mathematical modeling; Mathematical models; network information systems; Optimization; Statistical methods; mathematical modeling; information flows; fuzzy sets; information systems; network information systems
• ISSN: 1846-3312; 1846-9418
• DOI: 10.31341/jios.45.1.5

This study's subject represents the processes of functioning of information flows in a network information system through the use of fuzzy sets. It considers the possibilities of fuzzy sets in the information flows distribution problems of the Network Information System by the development of mathematical tools. In the theoretical part of the study, the main issue was the description of the fuzzy approach. In the empirical part of the study, the main concern was finding out the reasons for the fuzzy approach's advantages. The main results of the study: proof of the identity between the functioning of the analytical data; held the solution of the optimization problem based on the formulated analytical models; comparison of the usage of fuzzy logic with a different statistical method; demonstrated the advantage of fuzzy approach in modeling processes network information system. The results can be applied in the field of information systems and technologies.