| Title |
Trends Of Using Artificial Intelligence In Measuring Innovation Potential |
| ID_Doc |
73902 |
| Authors |
Gubán, M; Kása, R; Takács, D; Avornicului, M |
| Title |
Trends Of Using Artificial Intelligence In Measuring Innovation Potential |
| Year |
2019 |
| Published |
Management And Production Engineering Review, 10, 2 |
| DOI |
10.24425/mper.2019.129564 |
| Abstract |
The field of academic research on corporate sustainability management has gained significant sophistication since the economic growth has been associated with innovation. In this paper, we are to show our research project that aims to build an artificial intelligence-based neurofuzzy inference system to be able to approximate company's innovation performance, thus the sustainability innovation potential. For this we used an empirical sample of Hungarian processing industry's large companies and built an adaptive neuro fuzzy inference system. |
| Author Keywords |
process mapping; production logistics; process improvements; shipyard industry |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000473296600001 |
| WoS Category |
Engineering, Industrial |
| Research Area |
Engineering |
| PDF |
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