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Titlebook: Research and Practice in Multiple Criteria Decision Making; Proceedings of the X Yacov Y. Haimes (Director),Ralph E. Steuer Conference proc

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發(fā)表于 2025-3-23 11:28:14 | 只看該作者
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發(fā)表于 2025-3-23 17:21:35 | 只看該作者
S. Rajabi,K. W. Hipel,D. M. Kilgourt will address questions such as: What was their career path? Did they plan to become university leaders when they started their careers? Who helped them succeed? What are the benefits and challenges of senior university management? The chapter includes data from the eight participating countries in
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發(fā)表于 2025-3-23 21:18:06 | 只看該作者
Hiroyuki Tamura,Satoru Takahashi,Itsuo Hatono,Motohide Umano girls who have participated in restorative justice conferenThis book ties restorative justice into the exercise of patriarchal power. It is focused on the individual narratives of 15 girls and young women who have participated in a victim-offender restorative justice (RJ) conference and the perspec
14#
發(fā)表于 2025-3-23 22:40:47 | 只看該作者
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發(fā)表于 2025-3-24 05:49:45 | 只看該作者
Syuuji Yamada,Tetsuzo Tanino,Masahiro Inuiguchifocused attention on why men batter, explaining male violence in terms of poor child-rearing practices, the cycle of violence, unemployment and drink problems, thereby generating a checklist of risk factors and abuse indicators. Such theorisations have informed the procedures and practices of the va
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發(fā)表于 2025-3-24 10:00:43 | 只看該作者
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發(fā)表于 2025-3-24 11:21:29 | 只看該作者
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發(fā)表于 2025-3-24 14:52:10 | 只看該作者
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發(fā)表于 2025-3-24 21:57:31 | 只看該作者
A Robustness Index of Binary Preferencesa “strong” preference of x over y. It is shown that the index can also be defined for general additive preference models. A proof that the proposed index, for the additive case, is moderated stochastic transitive is given.
20#
發(fā)表于 2025-3-25 00:22:26 | 只看該作者
Multiple Criteria Subset Selection Under Quantitative and Non-Quantitative Criteriafied ordinally, cardinally, or according to qualitative properties on the criterion. First, a procedure is presented to screen and remove actions that cannot possibly be in the best subset. In the second stage, the performance of the remaining actions is evaluated to find the best possible subset.
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