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

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

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...

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Bibliographic Details
Main Authors: Illina, O.P., Sinitsyn, I.P., Slabospitska, O.O.
Format: Article
Language:Ukrainian
Published: Інститут програмних систем НАН України 2023
Subjects:
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 Access:https://pp.isofts.kiev.ua/index.php/ojs1/article/view/537
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