Abstract
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.
Highlights
Potential solvers, who fall into the database, participate in solving problems that the agent or decision maker (DM) offers them to solve for a financial compensation
The problem description presented in natural language, as well as information about the material and time resources allocated for solving the problem, is fed to the system input
After the task is divided into k subtasks, the most suitable solvers are selected in the database of potential solvers
Summary
Recent years one may characterize by [6,7,8,9,10,11,12]: Increasing risks of technological disasters, Unemployment and social upheaval; Increased workload of people’s activities at the cost of human errors; Food security threats. For such new complex organizational and technical systems that operate under high risks and uncertainty conditions, it becomes almost impossible to create a unified global mathematical model that is convenient for decision support In these conditions, it is increasingly necessary to use hybrid intelligence technologies and attract highly qualified specialists for expert assessment of possible scenarios for the sustainable development of production, society, region, state [1, 8, 17]
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