INTELLIGENT EVOLUTION DECISION SUPPORT SYSTEM BASED ON FUZZY LOGIC AND IMMUNE APPROACH
Journal Title: Системні технології - Year 2016, Vol 1, Issue 6
Abstract
The article proposes a model of intellectual decision support system based on fuzzy logic, the evolution of which is carried out using the immune approach. To increase the reliability and reduce the analysis time of their redundancy, which is a combinatorial optimization task. Evolution of the system using immune models of clonal selection and the immune network.
Authors and Affiliations
N. M. Korablev, D. N. Soloviov, R. R. Malyukov
Keywords
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