INTELLIGENT SUBSYSTEM FOR DECISION SUPPORT BASED ON BIOLOGICALLY PLAUSIBLE ALGORITHMS FOR SELF-ORGANIZATION

Abstract

The article discusses the basic concepts and definitions of decision support systems based
on self-organization. Decision Support Systems refers to a range of interactive computer systems
that help to use data, models, and knowledge to solve semi-structured, unstructured, or unstructured
problems. The diagram of the basic structure of the decision support system is shown and
described. Three main components of Decision Support Systems are considered, and a case is
described when the fourth component of a decision support system - a knowledge-based management
system - can be applied. The article offers a description of an intelligent decision support
system. Examples of specialized intelligent decision support systems include intelligent marketing
decision support systems and medical diagnostics systems, flexible manufacturing systems. The
problems associated with making optimal decisions occupy an important place in computer-aided
design and require improving methods and means of supporting optimal design processes at various
stages. Self-organization algorithms inspired by wildlife are considered. Bioinspired algorithms
are a representative class of self-organization algorithms. Bio-inspired computing mimics
nature and uses the underlying concepts and behavior of these systems to solve complex problems.
The article describes the algorithm for bats. An experimental analysis of the process of applying
the self-organization algorithm in decision-making systems is carried out.