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Updated: Jan 10, 2026

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

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欧几里德距离差异和绝对曼哈顿距离差异的总和:用于小型数据表的多标准决策工具

Károly Héberger1

  • 1Plasma Chemistry Research Group, Institute of Materials and Environmental Chemistry, HUN-REN Research Centre for Natural Sciences, Institute of Excellence, Hungarian Academy of Sciences, Budapest, Hungary.

Analytica chimica acta
|November 24, 2025
PubMed
概括

这项研究引入了新的算法,即欧几里德距离差异总和 (DnE) 和绝对曼哈顿距离差异总和 (DnM),将排名差异总和 (SRD) 扩展到非排名数据. 这些方法提供了优越的歧视和复杂的模式,用于集群和决策.

关键词:
这是一个ANOVA.不相似之处 不相似之处模型比较模型比较多标准决策分析分析.帕雷托优化的优化随机化测试是一种随机化测试.排名 排名 排名 排名 排名

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