Synthesis of Ukraine Budget Revenues Model in Conditions of Shadow Economy using Modified Method of Structural Identification

M. Dyvak, Natalia Porplytsya, I. Pidhurska, V. Brych, L. Horal, Nataliya Halysh
{"title":"Synthesis of Ukraine Budget Revenues Model in Conditions of Shadow Economy using Modified Method of Structural Identification","authors":"M. Dyvak, Natalia Porplytsya, I. Pidhurska, V. Brych, L. Horal, Nataliya Halysh","doi":"10.1109/ACIT49673.2020.9208829","DOIUrl":null,"url":null,"abstract":"Models for prediction of Ukraine budget revenues under conditions of shadow economy are built in the work. To build these models, known structural identification method used and modified one has been used. The necessity of modification of the known method consists in the following fact: while identifying the neighborhood of known nectar sources, the deterministic approach is used. The paper proposes to unify the concept of nectar source neighborhood for each of them regardless of its value (quality) by using a modified operator of nectar source generation. The results of comparative analysis showed that the use of modified method of structural identification is at least 14% more effective.","PeriodicalId":372744,"journal":{"name":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th International Conference on Advanced Computer Information Technologies (ACIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACIT49673.2020.9208829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Models for prediction of Ukraine budget revenues under conditions of shadow economy are built in the work. To build these models, known structural identification method used and modified one has been used. The necessity of modification of the known method consists in the following fact: while identifying the neighborhood of known nectar sources, the deterministic approach is used. The paper proposes to unify the concept of nectar source neighborhood for each of them regardless of its value (quality) by using a modified operator of nectar source generation. The results of comparative analysis showed that the use of modified method of structural identification is at least 14% more effective.
基于修正结构识别方法的影子经济条件下乌克兰预算收入模型综合
建立了影子经济条件下乌克兰预算收入预测模型。为了建立这些模型,使用了已知的结构识别方法和改进的结构识别方法。修改已知方法的必要性在于:在确定已知花蜜来源的邻域时,使用了确定性方法。本文提出了一种改进的花蜜源生成算子,在不考虑其值(质量)的情况下,统一每个花蜜源邻域的概念。对比分析结果表明,采用改进的方法进行结构识别的效率至少提高14%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信