Neuro-Fuzzy Tools in Studying Social Management

被引:0
作者
Sigov, Victor I. [1 ]
Uvarov, Serguey A. [2 ]
Pokrovskaia, Nadezhda N. [3 ]
机构
[1] St Petersburg State Univ Econ, Econ Labour Dept, St Petersburg, Russia
[2] St Petersburg State Univ Econ, Commerce & Commod Dept, St Petersburg, Russia
[3] St Petersburg State Univ Econ, Int Inst Econ & Polit, Int Business Dept, St Petersburg, VA, Russia
来源
2017 IEEE II INTERNATIONAL CONFERENCE ON CONTROL IN TECHNICAL SYSTEMS (CTS) | 2017年
关键词
business intelligence; computing; neuro-technologies; fuzzy logic; education; management;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Euro-fuzzy instruments are implemented to help, but not replace, the managers in making decisions process. The up-to-date corporate management is based on the conceptual paradigm of governance and sustainable innovative growth. The machine learning is now a necessary tool for competitive companies' management: the business intelligence is a systemic approach to base the making decisions upon the use of data mining and analysis of huge volumes of data. Social processes are too complicated, the computing has clear advantages to predict the social structures' behaviour if the results are grounded on the foundation of big data analysis. Machine learning is able not only to analyse billions of materials but to discover new correlations and factors that are to be taken into account for correct making decision in the management of companies, especially, in the field of the societal embeddedness of the employees or consumers economic choices, in the context of the sharing economy model.
引用
收藏
页码:216 / 219
页数:4
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