| Title |
Neuro-Fuzzy Tools in Studying Social Management |
| ID_Doc |
74642 |
| Authors |
Sigov, VI; Uvarov, SA; Pokrovskaia, NN |
| Title |
Neuro-Fuzzy Tools in Studying Social Management |
| Year |
2017 |
| Published |
|
| DOI |
|
| Abstract |
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. |
| Author Keywords |
business intelligence; computing; neuro-technologies; fuzzy logic; education; management |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000427398300058 |
| WoS Category |
Automation & Control Systems; Computer Science, Artificial Intelligence |
| Research Area |
Automation & Control Systems; Computer Science |
| PDF |
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