A framework of applying ordering coefficient based on the information energy to identify the causal relationships among critical factors from raw data

J. I. Shieh, H. H. Wu

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

Causal relationships among critical factors have been extensively studied in recent years. The most commonly seen methods based on the questionnaire to construct the causal relationships are decision-making trial and evaluation laboratory (DEMATEL) method and semantic structure analysis (SSA) method. However, both methods have their own limitations. In contrast, an ordering coefficient based on information energy has a solid theoretical background to study causal relationships among critical factors. In order to identify the threshold value to establish causal relationships from the raw data, a bootstrapping Monte Carlo simulation for an ordering coefficient based on information energy was conducted. Finally, a brief case study was presented and discussed with the use of an ordering coefficient based on information energy and a bootstrapping Monte Carlo simulation when the raw data are available to construct the causal relationships among the criteria.

原文English
文章編號3973
期刊Journal of Testing and Evaluation
46
發行號2
DOIs
出版狀態Published - 2018

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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