首页> 美国政府科技报告 >NATO Guide for Judgment-Based Operational Analysis in Defence Decision Making (Guide OTAN pour l'analyse operationnelle basee sur le jugement dans la prise de decision de defense). Client-Oriented Volume.
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NATO Guide for Judgment-Based Operational Analysis in Defence Decision Making (Guide OTAN pour l'analyse operationnelle basee sur le jugement dans la prise de decision de defense). Client-Oriented Volume.

机译:北约国防决策中基于判断的运行分析指南(指南OTaN pour l'analysis operationnelle basee surle jugement dans la prize de defense de defense)。面向客户的卷。

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摘要

Judgement in different guises has been used by military staff whenever assessing problematic situations and making decisions. NATO practitioners have determined that approaches within Operational Analysis (OA) that are predominantly based on human judgement, are an increasingly critical capability needed to support defence decision making. Wider acceptance and employment of judgement-based OA would enable the defence community to enhance its capability to deal with complex, high priority problem issues for which this type of analysis is particularly suited. The development of the 'NATO Guide for Judgement-Based Operational Analysis in Defence Decision Making' was commissioned by the System Analysis and Studies Panel within NATO's Research and Technology Organisation. Its purpose is: * To create an understanding of what judgement-based OA is; * To clarify what judgement-based OA can do to help address problematic situations, and what people can expect from it; and * To provide guidance on how a judgement-based OA study should be carried out to maximise validity, credibility and acceptance of the study and its outcomes. The Guide is published as three volumes: an analyst-oriented document (the 'Code of Best Practice for 'Soft' Operational Analysis') setting rules of the road for analysts, this client-oriented document, and a brief summarising brochure for (high-level, 'executive') decision makers explaining key aspects. This volume aims at familiarising decision makers and their staff with the potential of judgement-based OA.

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