{"title":"Combined approach to the complex objects control and stability analysis of management decisions","authors":"D. Ivanov, B. Sokolov, E. Serova, R. Yusupov","doi":"10.1504/IJRAM.2020.106175","DOIUrl":null,"url":null,"abstract":"The main problems and features of combined approach to the complex objects control and management stability analysis are investigated in the paper. Analytical-simulation scenarios and scenarios of intelligent models and systems execution for complex objects control and management stability analysis are given. The paper describes a particular group of models and modelling systems - hybrid intelligent models and systems that allow in conditions of uncertainty, incomplete initial data and complex interdependence between elements of complex objects to evaluate the implications of realization of various scenarios and risk evaluation. The investigations have shown successful possibility of risks evaluation by the combined implementation of the analytical-simulation models and algorithms, and ANFIS method - the method of hybrid neural-fuzzy modelling.","PeriodicalId":35420,"journal":{"name":"International Journal of Risk Assessment and Management","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJRAM.2020.106175","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Risk Assessment and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJRAM.2020.106175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 1
Abstract
The main problems and features of combined approach to the complex objects control and management stability analysis are investigated in the paper. Analytical-simulation scenarios and scenarios of intelligent models and systems execution for complex objects control and management stability analysis are given. The paper describes a particular group of models and modelling systems - hybrid intelligent models and systems that allow in conditions of uncertainty, incomplete initial data and complex interdependence between elements of complex objects to evaluate the implications of realization of various scenarios and risk evaluation. The investigations have shown successful possibility of risks evaluation by the combined implementation of the analytical-simulation models and algorithms, and ANFIS method - the method of hybrid neural-fuzzy modelling.
期刊介绍:
The IJRAM is an interdisciplinary and refereed journal that provides cross learning between: - Different business and economics, as well as scientific and technological, disciplines - Energy industries, environmental and ecological systems - Safety, public health and medical services - Software services, reliability and safety