Sergey Sapegin, Gennady Riabtsev, E. Zubareva, I. Basantsov
{"title":"TOOL FOR EFFECTIVE EXPERT INTEROPERABILITY IN E-GOVERNMENT DECISION SUPPORT SYSTEMS","authors":"Sergey Sapegin, Gennady Riabtsev, E. Zubareva, I. Basantsov","doi":"10.34229/1028-0979-2021-2-4","DOIUrl":null,"url":null,"abstract":"The article solves the problem of low efficiency of traditional methods for organizing the expert interaction in e-government decision support systems. It is shown that the activity of a highly qualified expert is still insufficiently organized, systematized and informationally provided, although expert assessments significantly affect the effectiveness, efficiency and economy of decisions. The requirements for automated expert systems are formulated. The features of the interaction of experts with each other and with the decision maker are taken into account. The place of automated expert systems in e-government decision support systems has been identified. It is shown that qualified users (experts who are able to evaluate (transform) the data, to generate variants of decision, to establish the rules for choosing the best) are an integral \"element\" of decision support systems architecture. At the same time, automated expert systems are mandatory component of decision support systems. An expert interoperability software tool, the PsycheaEXPERTUS automated system, is developed and implemented. Testing of this system confirmed that the use of such systems in e-government will simplify expert procedures, reduce unproductive time spent on organizing and conducting face-to-face consultations, and increase the efficiency of attracting specialists to make public policy, when the uncertainty of the environment and resource constraints exist. Further research is planned to be aimed at overcoming the psychological unpreparedness of decision makers for the widespread use of expert systems in Ukraine.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Automation and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34229/1028-0979-2021-2-4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
The article solves the problem of low efficiency of traditional methods for organizing the expert interaction in e-government decision support systems. It is shown that the activity of a highly qualified expert is still insufficiently organized, systematized and informationally provided, although expert assessments significantly affect the effectiveness, efficiency and economy of decisions. The requirements for automated expert systems are formulated. The features of the interaction of experts with each other and with the decision maker are taken into account. The place of automated expert systems in e-government decision support systems has been identified. It is shown that qualified users (experts who are able to evaluate (transform) the data, to generate variants of decision, to establish the rules for choosing the best) are an integral "element" of decision support systems architecture. At the same time, automated expert systems are mandatory component of decision support systems. An expert interoperability software tool, the PsycheaEXPERTUS automated system, is developed and implemented. Testing of this system confirmed that the use of such systems in e-government will simplify expert procedures, reduce unproductive time spent on organizing and conducting face-to-face consultations, and increase the efficiency of attracting specialists to make public policy, when the uncertainty of the environment and resource constraints exist. Further research is planned to be aimed at overcoming the psychological unpreparedness of decision makers for the widespread use of expert systems in Ukraine.
期刊介绍:
This journal contains translations of papers from the Russian-language bimonthly "Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal "Problemy upravleniya i informatiki". Subjects covered include information sciences such as pattern recognition, forecasting, identification and evaluation of complex systems, information security, fault diagnosis and reliability. In addition, the journal also deals with such automation subjects as adaptive, stochastic and optimal control, control and identification under uncertainty, robotics, and applications of user-friendly computers in management of economic, industrial, biological, and medical systems. The Journal of Automation and Information Sciences will appeal to professionals in control systems, communications, computers, engineering in biology and medicine, instrumentation and measurement, and those interested in the social implications of technology.