| Issue |
E3S Web Conf.
Volume 166, 2020
The International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters (ICSF 2020)
|
|
|---|---|---|
| Article Number | 11002 | |
| Number of page(s) | 8 | |
| Section | Measuring, Forecasting and Monitoring Sustainability | |
| DOI | https://doi.org/10.1051/e3sconf/202016611002 | |
| Published online | 22 April 2020 | |
Expert assessment systems to support decision-making for sustainable development of complex technological and socio-economic facilities
1
Sumy State University, Department of Computer Science, Sumy, Ukraine
2
St. Petersburg Electrotechnical University, Information Systems Department, St. Petersburg, Russia
3
University of Information Technology, Faculty of Computer Engineering, Ho Chi Minh City, Vietnam
* Corresponding author: prof_lavrov@hotmail.com
In this paper, we investigate problems of decision making in management systems for the sustainable development of complex technological and socio-economic facilities. We show both the limitations of traditional expert systems and decision support systems, and the necessity of using expert evaluation technologies to find possible development strategies. Based on that we substantiate the need of creating a new class of systems, i.e. Automated eXpert Assessment Systems, and propose their organizational structure and design principles. We substantiate the level of automation of the work performed during the examinations and describe the composition of models and computer programs we recommend for creating effective automated expert assessment systems and corresponding technology. In the paper, we give examples of using the proposed method for various areas of human activity, in the management of urban infrastructure and e-learning at the universities, and show the effectiveness of the developed approach.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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