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, Hsin-Hung Wu

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number3973
JournalJournal of Testing and Evaluation
Volume46
Issue number2
DOIs
Publication statusPublished - 2018 Jan 1

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Decision making
Semantics
Monte Carlo simulation

All Science Journal Classification (ASJC) codes

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

Cite this

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