{"title":"Methods of Obtaining Z-solutions of a Multi-criterial Problem","authors":"D. Muhamediyeva, N. Niyozmatova","doi":"10.1109/ICISCT47635.2019.9011992","DOIUrl":null,"url":null,"abstract":"In this paper, considered approaches to obtaining Z-solutions of a multicriterial problem to obtain a sustainable solution it is desirable to have additional a priori information on the degree of preference for a particular goal, which is specified by various fuzzy operators. A set of fuzzy sets corresponding to various properties of the object of investigation, in particular, qualitative (linguistic) and quantitative information about the characteristics of the object is determined. Proposed the Z-numbers approach to the prediction problem as a multicriterial problem, which reduces to some combination of fuzzy selection criteria, and to the study of complex systems as a hierarchical structure, since in order to obtain a scientifically based forecast, it is often necessary to attract information from social and natural sciences, in which the apparatus of fuzzy sets and Z-numbers is also preferable.","PeriodicalId":170576,"journal":{"name":"2019 International Conference on Information Science and Communications Technologies (ICISCT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Information Science and Communications Technologies (ICISCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICISCT47635.2019.9011992","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, considered approaches to obtaining Z-solutions of a multicriterial problem to obtain a sustainable solution it is desirable to have additional a priori information on the degree of preference for a particular goal, which is specified by various fuzzy operators. A set of fuzzy sets corresponding to various properties of the object of investigation, in particular, qualitative (linguistic) and quantitative information about the characteristics of the object is determined. Proposed the Z-numbers approach to the prediction problem as a multicriterial problem, which reduces to some combination of fuzzy selection criteria, and to the study of complex systems as a hierarchical structure, since in order to obtain a scientifically based forecast, it is often necessary to attract information from social and natural sciences, in which the apparatus of fuzzy sets and Z-numbers is also preferable.