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首页> 外文期刊>Expert Systems with Application >Modelling grey uncertainty with Fuzzy Grey Cognitive Maps
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Modelling grey uncertainty with Fuzzy Grey Cognitive Maps

机译:用模糊灰色认知图建模灰色不确定性

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摘要

An innovative and flexible model based on Grey Systems Theory and Fuzzy Cognitive Maps called Fuzzy Grey Cognitive Maps (FGCM) is proposed. It can be adapted to a wide range of problems, specially in mul-tiple meaning-based environments. FGCMs offer some advantages in comparison with others similar tools. First, the FGCM model is defined specifically for multiple meanings (grey) environments. Second, the FGCM technique allows the defining of relationships between concepts. Through this characteristic, decisional models that are more reliable for interrelated environments are defined. Third, the FGCM tech-nique is able to quantify the grey influence of the relationships between concepts. Through this attribute, a better support in grey environments can be reached. Finally, with this FGCM model it is possible to develop a what-if analysis with the purpose of describing possible grey scenarios. IT projects risks are modelled to illustrate the proposed technique.
机译:提出了一种基于灰色系统理论和模糊认知图的创新灵活模型,称为模糊灰色认知图(FGCM)。它可以适应各种问题,尤其是在基于多个含义的环境中。与其他类似工具相比,FGCM具有一些优势。首先,FGCM模型是专门为多种含义(灰色)环境定义的。其次,FGCM技术允许定义概念之间的关系。通过此特性,可以定义对于相互关联的环境更可靠的决策模型。第三,FGCM技术能够量化概念之间关系的灰色影响。通过此属性,可以在灰色环境中获得更好的支持。最后,使用此FGCM模型,可以进行假设分析,以描述可能的灰色情况。对IT项目风险进行建模以说明所提出的技术。

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