PROMETHEE-MP:PROMETHEE在不确定条件下多期评估的推广

Q4 Business, Management and Accounting
B. Urli, A. Frini, S. B. Amor
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引用次数: 8

摘要

可持续性是一个主要问题,决策必须基于三重底线,同时评估经济、社会和环境影响。在这种情况下,决策通常有几年甚至几十年的规划期,因此需要在不确定性的情况下进行短期、中期和长期评估。本文旨在解决这种复杂性,并提出了一种在不确定性下对PROMETHEE的多周期推广,称为PROMETHEE-MP,它基于双重聚合(多准则聚合和时间聚合),然后是开发阶段。多准则聚合步骤在具有蒙特卡洛模拟生成的区间的随机不确定性情况下使用PROMETHEE III的推广。对于时间聚合,我们使用预订单之间的距离度量,该度量捕捉冷漠、严格偏好、弱偏好和不可比关系。最后,我们在可持续森林管理的背景下说明了拟议的PROMETHEE-MP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PROMETHEE-MP: a generalisation of PROMETHEE for multi-period evaluations under uncertainty
Sustainability is a major concern and decisions have to be made based on the triple bottom line while simultaneously evaluating the economic, social and environmental impacts. In this context, decisions generally have a planning horizon of several years or even decades and consequently need to be evaluated in the short, medium and long term under uncertainty. This paper intends to tackle this complexity and proposes a multi-period generalisation of PROMETHEE under uncertainty, named PROMETHEE-MP, which is based on a double aggregation (a multi-criteria aggregation and a temporal aggregation), followed by an exploitation phase. The multi-criteria aggregation step uses a generalisation of PROMETHEE III in a situation of random uncertainty with intervals generated by Monte Carlo simulation. For temporal aggregation, we use a measure of distance between pre-orders that captures indifference, strict preference, weak preference and incomparability relations. Finally, we illustrate the proposed PROMETHEE-MP in the context of sustainable forest management.
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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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