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.
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