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首页> 外文期刊>Fuzzy Optimization and Decision Making: A Journal of Modeling and Computation Under Uncertainty >Linguistic fuzzy consensus model for collaborative development of fuzzy cognitive maps: a case study in software development risks
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Linguistic fuzzy consensus model for collaborative development of fuzzy cognitive maps: a case study in software development risks

机译：模糊认知地图协作发展的语言模糊共识模型 - 以软件开发风险为例

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摘要

Fuzzy cognitive maps (FCMs) have been widely used in several domains for information processing, such as, data fusion, decision making. Although several methods to automatically learn FCMs are recognized from the scientific literature, the most used approach to build an FCM relies on a collaborative task involving single person or, more suitably, group of experts. Collaborative development increases reliability and robustness of the resulting FCM, but rises some problems in terms of group decision making to aggregate different perspectives of the problem representation. This paper proposes to support collaborative development of FCMs introducing knowledge engineering process that relies on Linguistic Fuzzy Consensus Model. In the proposed approach, each expert builds the own version of the FCM. When all different versions are available, a Group Decision Making process is activated in order to reach the consensus on conflictual modeling opinions. The result is a unique final version of the FCM that is not a simple aggregation of the versions provided by the experts but is the result of a well-suited mathematical model. In addition, this work adopts consensus model with incomplete preference relations scheme to address knowledge harmonization issues. Finally, advantages and the limitations of the proposed framework are argued.
机译：模糊认知地图（FCMS）已广泛用于信息处理的若干域，例如数据融合，决策。尽管从科学文献中识别出自动学习FCM的几种方法，但建立FCM的最常用方法依赖于涉及单身人士或更适合专家组的协同任务。协作发展提高了所得FCM的可靠性和稳健性，但在集团决策方面提高了一些问题，以汇总问题表示的不同观点。本文建议支持FCMS的协同发展，介绍了依赖语言模糊共识模型的知识工程过程。在提出的方法中，每个专家都构建了自己的FCM版本。当所有不同的版本都有可用时，激活了一个组决策过程，以达到关于冲突建模意见的共识。结果是FCM的唯一最终版本，这不是专家提供的版本的简单聚合，而是良好的数学模型的结果。此外，这项工作采用了不完全偏好关系方案的共识模型，以解决知识协调问题。最后，争论了优势和所提出的框架的局限性。

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