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

• Дата: 2023
• Автори: Illina, O.P., Sinitsyn, I.P., Slabospitska, O.O.
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: Інститут програмних систем НАН України 2023
• Теми: 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
• Онлайн доступ: 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...