Abstract:
In modern decision support systems (DSS) characterized by processing large amounts of information in conditions of uncertainty, intellectualization of data processing and...Show MoreMetadata
Abstract:
In modern decision support systems (DSS) characterized by processing large amounts of information in conditions of uncertainty, intellectualization of data processing and analysis is required, as well as the use of efficient technologies, methods, and decision-making models. The article suggests a decision-making model (DMM), presented in the form of rules for fuzzy inference, trained and adapted on high-performance systems using artificial immune systems. The process of learning and adaptation consists in setting the form and parameters of membership functions, as well as the parameters and structure of the base of fuzzy rules.
Published in: 2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)
Date of Conference: 17-20 September 2019
Date Added to IEEE Xplore: 12 December 2019
ISBN Information: