Default 发表于 2025-3-28 16:07:50
An Unfolding Scaling Model for Aggregated Preferential Choice Dataential choice data for objects. However, the unfolding model has some difficulties, degeneracies, indeterminacies and multidimensionality problems in application to real data. In this paper, we propose a parametric unfolding model for aggregated choice data by introducing the attractiveness of objects.嫌恶 发表于 2025-3-28 21:44:35
http://reply.papertrans.cn/27/2627/262651/262651_42.pngLobotomy 发表于 2025-3-29 02:58:24
http://reply.papertrans.cn/27/2627/262651/262651_43.pngComplement 发表于 2025-3-29 04:07:06
Asymmetric Multidimensional Scaling of Relationships Among Managers of a Firmagers. The set of geodesic distance matrices was analyzed by the asymmetric multidimensional scaling. The result represents the hierarchical structure of the firm. The dimensions for symmetric relationships represent differences among departments, and those for asymmetric relationships represent differences within and between supervisors.intoxicate 发表于 2025-3-29 10:44:33
Aggregation of Ordinal Judgements Based on Condorcet’s Majority Ruleity values to pairs of relations lead to the majority rule with constraints. In comparison with Borda’s scoring method, which directly generates an aggregation being a complete preorder, the results are sometimes different.红润 发表于 2025-3-29 13:06:22
,George MacDonald’s Fairy Tales,n) are compared to fuzzy FPCs where outliers are smoothly downweighted. An algorithm to find substantial crisp and fuzzy FPCs is proposed, the results of a simulation study and a data example are discussed.HERE 发表于 2025-3-29 16:39:34
http://reply.papertrans.cn/27/2627/262651/262651_47.png江湖骗子 发表于 2025-3-29 20:11:48
http://reply.papertrans.cn/27/2627/262651/262651_48.pngEVEN 发表于 2025-3-30 01:58:43
http://reply.papertrans.cn/27/2627/262651/262651_49.pngCpap155 发表于 2025-3-30 06:02:27
https://doi.org/10.1007/978-3-476-03925-5pplied is then evaluated, showing that all algorithms are pretty well able to recover the original classification, if no perturbations are applied on the data base. Otherwise, considerable performance differences can be shown.