Loginov I. V., K. O. R., Eremenko V. T., V. G. S., Eremenko S. V., S. D. I.
{"title":"自适应信息通信系统重构的决策方法","authors":"Loginov I. V., K. O. R., Eremenko V. T., V. G. S., Eremenko S. V., S. D. I.","doi":"10.37622/adsa/16.1.2021.335-353","DOIUrl":null,"url":null,"abstract":"The adaptation both information and communication systems to variable external factors is implemented through the modernization activities. In this paper the problem of decision-making for adaptive system reconfiguration under uncertainty is considered. The decision-making method is used to detect a need for reconfiguration, built a set of reconfigurations plans and choose the preferable one based on data collection from diagnostic sensor network. Integral decision-making criterion combines the criterion for selecting a suitable reconfiguration moment and alternative. The main idea of the proposed method is to combine the multifactor active diagnostic model, weighted utility and preference theory, decision-making technique under uncertainty with comparison methods for fuzzy trees with incomplete requirement. The general result is achieved by reducing the uncertainty of diagnostic data. It is expected that the proposed decision-making method will help to improve the systems’ suitability in the case of uncertainty.","PeriodicalId":36469,"journal":{"name":"Advances in Dynamical Systems and Applications","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Decision Making Method for Reconfiguration of Adaptive Infocommunication Systems\",\"authors\":\"Loginov I. V., K. O. R., Eremenko V. T., V. G. S., Eremenko S. V., S. D. I.\",\"doi\":\"10.37622/adsa/16.1.2021.335-353\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The adaptation both information and communication systems to variable external factors is implemented through the modernization activities. In this paper the problem of decision-making for adaptive system reconfiguration under uncertainty is considered. The decision-making method is used to detect a need for reconfiguration, built a set of reconfigurations plans and choose the preferable one based on data collection from diagnostic sensor network. Integral decision-making criterion combines the criterion for selecting a suitable reconfiguration moment and alternative. The main idea of the proposed method is to combine the multifactor active diagnostic model, weighted utility and preference theory, decision-making technique under uncertainty with comparison methods for fuzzy trees with incomplete requirement. The general result is achieved by reducing the uncertainty of diagnostic data. It is expected that the proposed decision-making method will help to improve the systems’ suitability in the case of uncertainty.\",\"PeriodicalId\":36469,\"journal\":{\"name\":\"Advances in Dynamical Systems and Applications\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Dynamical Systems and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37622/adsa/16.1.2021.335-353\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Dynamical Systems and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37622/adsa/16.1.2021.335-353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
The Decision Making Method for Reconfiguration of Adaptive Infocommunication Systems
The adaptation both information and communication systems to variable external factors is implemented through the modernization activities. In this paper the problem of decision-making for adaptive system reconfiguration under uncertainty is considered. The decision-making method is used to detect a need for reconfiguration, built a set of reconfigurations plans and choose the preferable one based on data collection from diagnostic sensor network. Integral decision-making criterion combines the criterion for selecting a suitable reconfiguration moment and alternative. The main idea of the proposed method is to combine the multifactor active diagnostic model, weighted utility and preference theory, decision-making technique under uncertainty with comparison methods for fuzzy trees with incomplete requirement. The general result is achieved by reducing the uncertainty of diagnostic data. It is expected that the proposed decision-making method will help to improve the systems’ suitability in the case of uncertainty.