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楼主: 重婚
发表于 2025-3-23 10:42:34 | 显示全部楼层
https://doi.org/10.1007/978-981-13-0463-7New technologies of multicriteria choice with reduction of attribute space dimensionality are applicable for solving any types of tasks of individual and collective choice, and especially when we need in an integral indicator of assessment quality that aggregates primary heterogeneous characteristics of objects.
发表于 2025-3-23 15:47:09 | 显示全部楼层
,Group Ordering of Multi-attribute Objects,This chapter introduces new ways for representation and comparison of objects with many numerical and/or verbal attributes, which are present in several distinguished versions. Specifying multi-attribute objects with multisets allows us to solve all types of tasks of individual and collective choice.
发表于 2025-3-23 19:32:44 | 显示全部楼层
发表于 2025-3-24 00:29:12 | 显示全部楼层
Practical Applications of Choice Technologies,New technologies of multicriteria choice with reduction of attribute space dimensionality are applicable for solving any types of tasks of individual and collective choice, and especially when we need in an integral indicator of assessment quality that aggregates primary heterogeneous characteristics of objects.
发表于 2025-3-24 04:45:00 | 显示全部楼层
发表于 2025-3-24 10:03:39 | 显示全部楼层
Delia J. Milliron,Qiang Huang,Yu Zhuroblem solution, finding among them the best or acceptable option(s), explaining the choice made. We discuss the features of decision and choice, present stages of solving the choice problem. Here we formulate the task of decision making, and give a classification of choice tasks. We identify the no
发表于 2025-3-24 14:09:15 | 显示全部楼层
PCM Array Architecture and Management, choice, such as multicriteria optimization, approximation of the Pareto boundary, heuristic methods, methods of utility theory, choice functions, analytical hierarchy, outranking relation, computing with words, verbal decision analysis. We specify procedures and models for aggregating individual pr
发表于 2025-3-24 17:59:53 | 显示全部楼层
One- and Two-Component System Presentations, classification of objects without teachers by feature proximity and with teachers by aggregated decision rules. We demonstrate examples how to solve model tasks of collective multicriteria choice with the developed methods.
发表于 2025-3-24 22:18:40 | 显示全部楼层
发表于 2025-3-24 23:24:07 | 显示全部楼层
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