
MODEL OF A FUZZY DYNAMIC DECISION SUPPORT SYSTEM
Author(s) -
Sergey Pavlov,
V. A. Dokuchaev,
Sergey S. Mytenkov
Publication year - 2020
Publication title -
t-comm
Language(s) - English
Resource type - Journals
eISSN - 2072-8743
pISSN - 2072-8735
DOI - 10.36724/2072-8735-2020-14-9-43-47
Subject(s) - decision support system , computer science , fuzzy logic , process (computing) , ranking (information retrieval) , business decision mapping , management science , business process , operations research , enforcement , artificial intelligence , engineering , operations management , work in process , operating system , law , political science
Within the framework of this article, the analysis of the ways of building an automated decision support system for business and technological processes based on the thematic apparatus of the theory of fuzzy functions is carried out. The purpose of decision support systems is to help the decision maker (business owners, top managers of companies, heads of state organizations and law enforcement agencies) in choosing the most optimal solution based on the information at his disposal. It is proposed to use mathematical methods based onfuzzy multicriteria ranking as methods for making a decision. The paper proposes a model of an automated decision support system for business and technological processes of organizations based onthe mathematical apparatus of the theory of fuzzy functions, which allows automating the process of choosing a solution and eliminating the influence of subjective factors when assessing possible decisions.