PROMETHEE II对时态评价的扩展

Q4 Business, Management and Accounting
Issam Banamar, Y. D. Smet
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引用次数: 16

摘要

传统的PROMETHEE方法旨在帮助决策者在不考虑时间评价的情况下管理多标准问题。本文的目的是介绍PROMETHEE II的时间扩展。介绍了一种设置动态阈值的新方法。加权算术平均值用于累计净流量分数随时间的变化。此外,为了确定决策者实例的重要性,开发了一种交互式查询方法。仿真结果表明了该方法在收敛性和速度方面的有效性。最后,通过一个算例对模型进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An extension of PROMETHEE II to temporal evaluations
Conventional PROMETHEE methods have been designed to help decision makers to manage multicriteria problems without considering temporal evaluations. The aim of this paper is to introduce a temporal extension of PROMETHEE II. A new approach to set dynamic thresholds is introduced. The weighted arithmetic mean is used to aggregate net flow scores over time. In addition, an interactive query method is developed in order to determine decision maker's instances importance. Simulation results are used to show the effectiveness of this approach in terms of convergence and speed. Finally, an example is given to illustrate the model.
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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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