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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Datum:	2023
Hauptverfasser:	Illina, O.P., Sinitsyn, I.P., Slabospitska, O.O.
Format:	Artikel
Sprache:	Ukrainian
Veröffentlicht:	Інститут програмних систем НАН України 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
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Назва журналу:	Problems in programming

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