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首页> 外文期刊>Expert systems with applications >Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall
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Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall

机译:使用最大平均去熵算法确定DEMATEL方法的阈值,以查找半导体知识产权商城提供的关键服务

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To deal with complex problems, structuring them through graphical representations and analyzing causal influences can aid in illuminating complex issues, systems, or concepts. The DEMATEL method is a methodology which can confirm interdependence among variables and aid in the development of a chart to reflect interrelationships between variables, and can be used for researching and solving complicated and intertwined problem groups. The end product of the DEMATEL process is a visual representation-the impact-relations map-by which respondents organize their own actions in the world. In order to obtain a suitable impact-relations map, an appropriate threshold value is needed to obtain adequate information for further analysis and decision-making. In the existing literature, the threshold value has been determined through interviews with respondents or judged by the researcher. In most cases, it is hard and time-consuming to aggregate the respondents and make a consistent decision. In addition, in order to avoid subjective judgments, a theoretical method to select the threshold value is necessary. In this paper, we propose a method based on the entropy approach, the maximum mean de-entropy algorithm, to achieve this purpose. Using a real case to find the interrelationships between the services of a Semiconductor Intellectual Property Mall as an example, we will compare the results obtained from the respondents and from our method, and show that the impact-relations maps from these two methods could be the same.
机译:为了处理复杂的问题,通过图形表示来构造它们并分析因果影响可以帮助阐明复杂的问题,系统或概念。 DEMATEL方法是一种方法,可以确认变量之间的相互依赖性,并有助于开发图表以反映变量之间的相互关系,并且可以用于研究和解决复杂且交织在一起的问题组。 DEMATEL流程的最终产品是一种视觉表示形式(即影响关系图),受访者可借此组织自己在世界上的行动。为了获得适当的影响关系图,需要适当的阈值以获得足够的信息以进行进一步的分析和决策。在现有文献中,阈值是通过与受访者的访谈确定的或由研究人员判断的。在大多数情况下,汇总受访者并做出一致的决定既困难又耗时。另外,为了避免主观判断,选择阈值的理论方法是必要的。在本文中,我们提出了一种基于熵的方法,即最大均值去熵算法,以实现此目的。以实际案例为例,找到一个半导体知识产权商城的服务之间的相互关系,我们将比较从受访者和我们的方法获得的结果,并表明这两种方法的影响关系图可能是相同。

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