A Framework of Applying Ordering Coefficient Based on the Information Energy to Identify the Causal Relationships Among Critical Factors from Raw Data

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题名:	A Framework of Applying Ordering Coefficient Based on the Information Energy to Identify the Causal Relationships Among Critical Factors from Raw Data
作者:	謝俊逸;Shieh, Jiunn-I;Wu, Hsin-Hung;Wu, Hsin-Hung;*
贡献者:	行動商務與多媒體應用學系
日期:	2018-03
上传时间:	2018-10-22
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.
關聯:	JOURNAL OF TESTING AND EVALUATION
显示于类别:	[行動商務與多媒體應用學系] 期刊論文

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