Continuous decision support

Q4 Business, Management and Accounting
J. Hendrix, D. Jacques, J. Weir
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引用次数: 0

Abstract

This paper presents extensions to the triage method for addressing continuous decision problems. These provide decision makers more tools with which to address situations where alternatives present themselves over time. The original triage method provides a criteria with which to divide these alternatives into those that should be selected, those that should be rejected, and those that should be held pending until a later decision epoch. The proposed extensions offer different criteria for accomplishing this partition. A sample problem is introduced to compare the effectiveness of the various methods and avenues for further improvements are discussed.
持续的决策支持
本文提出了分类方法的扩展,用于解决连续决策问题。这些工具为决策者提供了更多的工具来处理随着时间的推移而出现的替代方案。原始的分类方法提供了一个标准,用来将这些选项划分为应该选择的选项、应该拒绝的选项和应该保留到以后的决策阶段的选项。建议的扩展为完成此分区提供了不同的标准。通过一个实例比较了各种方法的有效性,并讨论了进一步改进的途径。
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
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
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
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