前景理论与PROMETHEE的整合——可持续生物能源概念的案例研究

Q4 Business, Management and Accounting International Journal of Multicriteria Decision Making Pub Date : 2016-01-09 DOI:10.1504/ijmcdm.2015.074085
Nils Lerche, Jutta Geldermann
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引用次数: 9

摘要

超越排序方法的一个重要目标是决策者应该能够将任何论点纳入过程,以更好地了解决策问题。然而,为了表现决策者的实际偏好,考虑行为影响似乎是必要的。本文阐述了一种将前景理论的研究成果整合到PROMETHEE中的新方法。特别地,参考依赖和损失厌恶的元素被纳入。为此目的,有必要定义一个适当的替代参考。并对现有的偏好函数和两两比较的聚合方式进行了调整。为了测试新开发的方法,它使用了来自一个联合研究项目的现有决策矩阵,该项目涉及确定可持续生物能源概念。最后,讨论了新方法的结果以及潜在的优势和挑战。
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Integration of prospect theory into PROMETHEE - a case study concerning sustainable bioenergy concepts
An important objective of outranking methods is that the decision maker should be able to incorporate any argument into the process to achieve better awareness of the decision problem. However, in order to represent actual preferences of the decision maker, consideration of behavioural effects appears to be necessary. In this paper, a new approach that integrates findings from prospect theory into PROMETHEE is illustrated. In particular, the elements of reference dependency and loss aversion are incorporated. For this purpose, it is necessary to define an adequate reference alternative. Moreover, the existing preference functions and the way of aggregating pairwise comparisons have been adjusted. In order to test the newly developed approach, it is applied using an existing decision matrix from a joint research project concerned with the identification of a sustainable bioenergy concept. Finally, the results as well as potential advantages and challenges of the new approach are discussed.
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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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