| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | |
| Mamedova , M.H. Decision Making in an Intelligent Health Management System of the Ship Crew in Maritime Transport / M.H. Mamedova , Z.G. Jabrayilova // 2nd International Conference on Problems of Logistics, Management and Operation in the East-West Transport Corridor (PLMO 2023). - Baku, 2023. - P. 24-26. | |
| Annotasiya | |
| This paper proposes a methodological approach for the decision making in a distributed intelligent health management system for ship crew in maritime transport. The decision-making methodology is based on the concept of a person-centered approach to managing the health and safety of ship personnel, which implies the inclusion of employees as the main component in the control loop. Develops a functional model of the health management system for workers employed on ship and implements it through three phased operations that is monitoring and assessing the health indicators of each employee and making decisions. These interacting operations combine the levels of a distributed intelligent health management system. It presents appropriate approaches to the implementation of decision support processes and describes one of the possible methods for evaluating the generated data and making decisions using fuzzy pattern recognition. The models of a fuzzy ideal image and fuzzy real images of the health status of an employee are developed and an algorithm is described for assessing the deviation of generated medical parameters from the norm. The paper also compiles the rules to form the knowledge bases of a distributed intelligent system for remote continuous monitoring. It is assumed that embedding this base into the intelligent system architecture will objectively assess the trends in the health status of the members of ship crew and make informed decisions to eliminate certain problems. | |
| Elektron variant | |
| Elektron variant |
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