The triage method: screening alternatives over time with multiobjective decision analysis

Q4 Business, Management and Accounting

International Journal of Multicriteria Decision Making Pub Date : 2014-01-01 DOI:10.1504/IJMCDM.2014.066871

J. Weir, J. Hendrix, Alex J. Gutman

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引用次数: 3

Abstract

We present the triage method for screening decision alternatives. Screening reduces a decision maker's time and effort because it removes poor alternatives from unnecessary vetting. We consider the case when alternatives arrive at different times in batch sizes. Alternatives may also 'expire', requiring a decision to be made quickly. A triage function uses a value model to partition incoming alternatives into one of three sets: transferred, rejected, or pending. Pending alternatives are cycled back through the process and are reevaluated against a changing cutoff value. Interval parameters account for uncertainty and disagreements between multiple decision makers. Overall, the triage method provides a dynamic, continuous evaluation of potential alternatives with results that are easily defended and communicated. We illustrate a wartime application of the triage method on proposals seeking funding to defeat improvised explosive devices, the main killer of coalition forces and civilians in Iraq and Afghanistan.

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分诊方法:筛选备选方案随着时间的推移与多目标决策分析

我们提出筛选决策选择的分诊方法。筛选减少了决策者的时间和精力，因为它从不必要的审查中消除了糟糕的选择。我们考虑的情况下，当替代品到达不同的时间批量大小。替代方案也可能“到期”，需要迅速做出决定。分类函数使用值模型将传入的备选方案划分为以下三组之一:已传输、已拒绝或未挂起。等待的备选方案通过流程循环返回，并根据不断变化的截止值重新评估。区间参数解释了多个决策者之间的不确定性和分歧。总的来说，分诊方法提供了对潜在替代方案的动态、持续评估，其结果易于辩护和沟通。在伊拉克和阿富汗，简易爆炸装置是联军部队和平民的主要杀手，我们举例说明了这种分类方法在战时的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management

CiteScore

0.70

自引率

0.00%

发文量

期刊介绍： IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields