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Titlebook: Advances in Best-Worst Method; Proceedings of the F Jafar Rezaei,Matteo Brunelli,Majid Mohammadi Conference proceedings 2023 The Editor(s)

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31#
發(fā)表于 2025-3-26 23:50:21 | 只看該作者
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發(fā)表于 2025-3-27 03:24:35 | 只看該作者
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發(fā)表于 2025-3-27 05:19:43 | 只看該作者
34#
發(fā)表于 2025-3-27 09:33:08 | 只看該作者
https://doi.org/10.1007/978-3-031-40328-6Multi-criteria Decision-making; Best-Worst Method; Pairwise Comparisons; Weighting Methods; Weight Elici
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發(fā)表于 2025-3-27 16:44:30 | 只看該作者
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發(fā)表于 2025-3-27 23:39:47 | 只看該作者
Lecture Notes in Operations Researchhttp://image.papertrans.cn/a/image/146845.jpg
38#
發(fā)表于 2025-3-28 05:39:48 | 只看該作者
,‘Unpack That …’ — Animating the Male, a pairwise comparison method that is used to elicit the tradeoffs among a set of attributes (criteria) in a multi-criteria decision-making problem. While BWT is suitable for a single decision-maker situation, Bayesian BWT is suitable for aggregating the tradeoffs among a number of criteria coming f
39#
發(fā)表于 2025-3-28 09:08:33 | 只看該作者
https://doi.org/10.1057/9781137330949 Multi-Actor Multi-Criteria Analysis (MAMCA) has emerged as a group decision-making framework that takes into account the preferences of key stakeholders. MAMCA provides a flexible structure that aims to capture the various points of view of stakeholders involved in the decision-making process. Afte
40#
發(fā)表于 2025-3-28 11:28:49 | 只看該作者
https://doi.org/10.1057/9781137327581udgments. Deriving the priority weights from best-to-others and others-to-worst preferences is one of the key issues, and several prioritization methods have been proposed to address it. However, their behavior and performances in different situations are yet to investigate. In this study, we analyz
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