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Neuro-Fuzzy Modeling Techniques in Economics最新文献

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Forecasting the fish and seafood catch in the global economy 预测全球经济中的鱼类和海产品捕获量
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2020-11-11 DOI: 10.33111/nfmte.2020.175
V. Chuzhykov, I. Miroshnychenko, Oleksandr Lukianenko
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引用次数: 0
Artificial neural-like network as a basis for forming logical conclusions in systems of exceptional complexity 人工神经网络作为在异常复杂的系统中形成逻辑结论的基础
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2020-11-11 DOI: 10.33111/nfmte.2020.065
V. Hraniak, V. Mazur, Viktor Matvijchuk
{"title":"Artificial neural-like network as a basis for forming logical conclusions in systems of exceptional complexity","authors":"V. Hraniak, V. Mazur, Viktor Matvijchuk","doi":"10.33111/nfmte.2020.065","DOIUrl":"https://doi.org/10.33111/nfmte.2020.065","url":null,"abstract":"","PeriodicalId":300314,"journal":{"name":"Neuro-Fuzzy Modeling Techniques in Economics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128809558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of dynamic fuzzy SPACE-analysis for forming enterprise strategies 动态模糊空间分析在企业战略制定中的应用
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2020-11-11 DOI: 10.33111/nfmte.2020.026
V. Balan
{"title":"Application of dynamic fuzzy SPACE-analysis for forming enterprise strategies","authors":"V. Balan","doi":"10.33111/nfmte.2020.026","DOIUrl":"https://doi.org/10.33111/nfmte.2020.026","url":null,"abstract":"","PeriodicalId":300314,"journal":{"name":"Neuro-Fuzzy Modeling Techniques in Economics","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128598892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fraud detection in car insurance: the problem of unbalanced sampling 汽车保险欺诈检测:不平衡抽样问题
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2020-11-11 DOI: 10.33111/nfmte.2020.138
K. Kononova, Anna Havrylenko
{"title":"Fraud detection in car insurance: the problem of unbalanced sampling","authors":"K. Kononova, Anna Havrylenko","doi":"10.33111/nfmte.2020.138","DOIUrl":"https://doi.org/10.33111/nfmte.2020.138","url":null,"abstract":"","PeriodicalId":300314,"journal":{"name":"Neuro-Fuzzy Modeling Techniques in Economics","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116536453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Influence of the fourth industrial revolution on divergence and convergence of economic inequality for various countries 第四次工业革命对各国经济不平等分化与趋同的影响
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2019-10-17 DOI: 10.33111/nfmte.2019.124
Vitaliy Kobets, Valeria Yatsenko
{"title":"Influence of the fourth industrial revolution on divergence and convergence of economic inequality for various countries","authors":"Vitaliy Kobets, Valeria Yatsenko","doi":"10.33111/nfmte.2019.124","DOIUrl":"https://doi.org/10.33111/nfmte.2019.124","url":null,"abstract":"The choice between economic efficiency and social equity has become a key objection in economic development, since in the current economic system, which has become close to the Pareto optimum, the achievement of both of these goals is mutually exclusive. Further balancing between these goals is possible only with a fundamental change of current system of economic relations and getting access to new curves of production capabilities, which may become quite real within development of Industry 4.0 and 6th technological wave. Nevertheless, nobody can predict the social impact of Industry 4.0 on society, which in the context of future technological changes transforms into Society 4.0. The purpose of this paper is to conduct a cluster analysis of countries inequality due to IT development. We researched impact of gross capital formation, research and development expenditure to create innovations, intellectual property and high-technology exports on inequality of countries using principal component analysis based on open data for 2012 – 2015. 2 main clusters of 45 countries were identified which have convergence and divergence attributes due to IT development. It was also revealed the countries with inequalities in ensuring economic efficiency and social equity due to other reasons which are not connected with IT development.","PeriodicalId":300314,"journal":{"name":"Neuro-Fuzzy Modeling Techniques in Economics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133461927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A geomarketing approach in the placement problem: a comparative analysis of three clusterization 区位问题中的地理营销方法:三聚类的比较分析
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2019-10-17 DOI: 10.33111/nfmte.2019.030
K. Kononova, Denis Kostrinchuk
{"title":"A geomarketing approach in the placement problem: a comparative analysis of three clusterization","authors":"K. Kononova, Denis Kostrinchuk","doi":"10.33111/nfmte.2019.030","DOIUrl":"https://doi.org/10.33111/nfmte.2019.030","url":null,"abstract":"","PeriodicalId":300314,"journal":{"name":"Neuro-Fuzzy Modeling Techniques in Economics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125106084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine learning approach for forecasting cryptocurrencies time series 预测加密货币时间序列的机器学习方法
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2019-10-17 DOI: 10.33111/nfmte.2019.065
Vasyl Derbentsev, Halyna Velykoivanenko, Natalia Datsenko
{"title":"Machine learning approach for forecasting cryptocurrencies time series","authors":"Vasyl Derbentsev, Halyna Velykoivanenko, Natalia Datsenko","doi":"10.33111/nfmte.2019.065","DOIUrl":"https://doi.org/10.33111/nfmte.2019.065","url":null,"abstract":"","PeriodicalId":300314,"journal":{"name":"Neuro-Fuzzy Modeling Techniques in Economics","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116386597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Modeling of cross-border spreading of financial crisis 金融危机跨境传播的建模
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2019-10-17 DOI: 10.33111/nfmte.2019.147
Inna Strelchenko
{"title":"Modeling of cross-border spreading of financial crisis","authors":"Inna Strelchenko","doi":"10.33111/nfmte.2019.147","DOIUrl":"https://doi.org/10.33111/nfmte.2019.147","url":null,"abstract":"У статті досліджуються особливості процесів поширення кризових явищ через фінансові та торгівельні канали. Наведено основні передумови, що мають бути враховані при моделюванні їх розповсюдження. Зокрема, для опису часової структури цих процесів автором вводиться термін «латентний період» та обґрунтовується алгоритм визначення його часових меж. Проведено кількісне оцінювання ефективності запропонованої концепції. Спираючись на отримані результати здійснено відбір макроекономічних індикаторів, що характеризують стан основних каналів поширення кризових явищ і відображають деформаційні процеси в економіці за деякий час до завершення латентного періоду. В результаті проведеного аналізу та експериментального тестування сформовано систему вхідних класифікаційних характеристик, необхідних для побудови економіко-математичної моделі прогнозування наслідків поширення фінансової кризи: обсяг офіційних золотовалютних резервів без урахування золота; співвідношення грошового агрегату М2 до обсягу золотовалютних резервів; грошовий мультиплікатор; зміна грошового агрегату М0; зміна грошового агрегату М2; спред ставки відсотка по кредитах в іноземній валюті всередині країни до аналогічного показника за кордоном; коефіцієнт монетизації економіки; зростання експорту; зростання імпорту; частка експорту у ВВП. Отримана нейронна мережа-класифікатор на базі самоорганізаційної карти Кохонена розподіляє простір вихідних точок (кожна з котрих має просторову розмірність у десять координат та характеризується часовою глибиною у тривалість латентного періоду для досліджуваної країни) на кластери, в яких динаміка таких індикаторів як ВВП, реальний обмінний курс до СПЗ, обсяг золотовалютних резервів, гарантований державний борг та вартість облігацій зовнішньої державної позики є подібною. Це дозволило сформувати базу сценаріїв можливої поведінки економік під впливом процесів поширення кризових явищ на основі макропоказників, що характеризують стан фінансового та торгівельного каналів поширення.","PeriodicalId":300314,"journal":{"name":"Neuro-Fuzzy Modeling Techniques in Economics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116735998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of multilayer perceptrons to legal entities borrowers classification 多层感知器在法人实体借款人分类中的应用
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2019-10-17 DOI: 10.33111/nfmte.2019.048
Olha Hryhorovych
{"title":"Application of multilayer perceptrons to legal entities borrowers classification","authors":"Olha Hryhorovych","doi":"10.33111/nfmte.2019.048","DOIUrl":"https://doi.org/10.33111/nfmte.2019.048","url":null,"abstract":"","PeriodicalId":300314,"journal":{"name":"Neuro-Fuzzy Modeling Techniques in Economics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124347497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Studying the methods of data transformation in the context of increasing the effectiveness of credit scoring models 研究了提高信用评分模型有效性背景下的数据转换方法
Neuro-Fuzzy Modeling Techniques in Economics Pub Date : 2019-10-17 DOI: 10.33111/nfmte.2019.094
Yuriy Kleban
{"title":"Studying the methods of data transformation in the context of increasing the effectiveness of credit scoring models","authors":"Yuriy Kleban","doi":"10.33111/nfmte.2019.094","DOIUrl":"https://doi.org/10.33111/nfmte.2019.094","url":null,"abstract":"","PeriodicalId":300314,"journal":{"name":"Neuro-Fuzzy Modeling Techniques in Economics","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121760023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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