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基于机器学习的全过程咨询项目认知信任评价研究

姜乃铭 崔庆宏

山东理工大学学报(自然科学版)2026,Vol.40Issue(4):71-78,8.
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山东理工大学学报(自然科学版)2026,Vol.40Issue(4):71-78,8.

基于机器学习的全过程咨询项目认知信任评价研究

Research on cognitive trust evaluation in machine learning-based whole process consulting projects

姜乃铭 1崔庆宏1

作者信息

  • 1. 青岛理工大学 管理工程学院,山东 青岛 266520
  • 折叠

摘要

Abstract

With the growing demand for whole-process consulting services and the rapid development of artificial intelligence,convenient and effective assessment of cognitive trust in consulting companies has become crucial for improving project success rates and promoting industry advancement.By reviewing existing literature to identify factors influencing cognitive trust in whole-process consulting,this study designs a questionnaire to rate consulting projects and submits the scores to professional firms for trustwor-thiness assessment.Adopting machine learning approaches and the Python programming language,the final data undergoes processing and cleaning.A Logistic regression model is constructed for evaluation testing,with subsequent validation through ROC curves and AUC values after meeting testing standards.Real-world data from actual projects is then input into the model for verification.The research results provide a novel evaluation tool for whole-process consulting projects,supporting digital transformation and intelligent decision-making in the industry.This methodology can also offer scientific reference criteria for project owners,improving decision-making rationality and addressing trust deficits.

关键词

全过程咨询/信任评价/机器学习/Logistic回归

Key words

whole-process consulting/trust evaluation/machine learning/Logistic regression

分类

管理科学

引用本文复制引用

姜乃铭,崔庆宏..基于机器学习的全过程咨询项目认知信任评价研究[J].山东理工大学学报(自然科学版),2026,40(4):71-78,8.

山东理工大学学报(自然科学版)

1672-6197

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