Principles and models of expert-analytical methodology for adaptive organizational decisions forming under deep uncertainty

• Veröffentlicht in: PROBLEMS IN PROGRAMMING
• Datum: 2023
• Heft: 3-4
• Сторінки: 364-375
• ISSN: 1727-4907
• Автори та афіліації: O.P. Illina — Institute of Software Systems NAS of Ukraine; I.P. Sinitsyn — Institute of Software Systems NAS of Ukraine; O.O. Slabospitska — Institute of Software Systems NAS of Ukraine
• Hauptverfasser: Illina, O.P., Sinitsyn, I.P., Slabospitska, O.O.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2023
• Schlagworte: anticrisis decision; deliberative estimates adjustment; decision vulnerability; deep uncertainty; Stanford model; expert-analytical methodology; uncertainty map; estimate argumentation; UDC 004.822,681.3,519.81
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/537
• Назва журналу: Problems in programming

The paper depicts and analyzes Expert-Analytical Methodology named EAM DMDU to support Proactive Anti-crisis Decisions within Organizational Systems under deep uncertainty. Complex tools are proposed for Decisions Domain Knowledge analytical operation. The Benefit is no essential resource demands wh...