摘要
锚定效应是司法认知偏差的一种重要表现形式,受此影响法官会在量化决策时给予初始信息过多的重视,将某些随机的锚位值作为估测的起始值,导致裁判结果不稳定。本文利用主成分分析方法的综合评价,构造出了评定“过失”和“过错”程度的精神损失量化模型,使侵权人的过错程度的判定更为客观。
Anchoring effect is a major manifestation of judicial cognition bias,affected by which,judges will pay excessive attention to the initial information when quantifying decision-making,and take some random anchor values as the starting value of the estimation,leading to deviant judgments.This article uses the comprehensive evaluation of the principal component analysis method to construct a quantitative model of mental loss to assess the degree of“negligence”and“fault”,so as to ensure the objectivity of the infringers’degree of fault.
作者
张景仪
张国翠
刘靖
Zhang Jingyi;Zhang Guocui;Liu Jing(School of Life Sciences,Ludong University,Yantai 264025;Law School of Ludong University,Yantai 264025;School of Mathematics and Statistics Sciences,Ludong University,Yantai 264025)
出处
《中阿科技论坛(中英文)》
2021年第6期188-190,共3页
China-Arab States Science and Technology Forum
基金
省级大学生创新创业训练计划项目(S201910451014)
教育部产学合作协同育人项目(201901137017
201801034031
201802257026)
山东省高等学校教学研究与改革一般项目(M2018X066)。
关键词
精神损失量化
主成分分析
大数据
过错程度
Mental loss quantification
Principal component analysis
Big data
Fault degree