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A Fuzzy Grey Cognitive Maps-based Decision Support System for radiotherapy treatment planning

机译：基于模糊灰色认知图的放射治疗计划决策支持系统

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Recently, Fuzzy Grey Cognitive Map (FGCM) has been proposed as a FCM extension. It is based on Grey System Theory, that it is focused on solving problems with high uncertainty, under discrete incomplete and small data sets. The FGCM nodes are variables, representing grey concepts. The relationships between nodes are represented by directed edges. An edge linking two nodes models the grey causal influence of the causal variable on the effect variable. Since FGCMs are hybrid methods mixing Grey Systems and Fuzzy Cognitive Maps, each cause is measured by its grey intensity. An improved construction process of FGCMs is presented in this study, proposing an intensity value to assign the vibration of the grey causal influence, thus to handle the trust of the causal influence on the effect variable initially prescribed by experts' suggestions. The explored methodology is implemented in a well-known medical decision making problem pertaining to the problem of radiotherapy treatment planning selection, where the FCMs have previously proved their usefulness in decision support. Through the examined medical problem, the FGCMs demonstrate their functioning and dynamic capabilities to approximate better human decision making.
机译：近来，模糊灰色认知图（FGCM）已经被提出作为FCM扩展。它基于灰色系统理论，专注于解决离散不完整和小数据集下的高不确定性问题。 FGCM节点是变量，代表灰色概念。节点之间的关系由有向边表示。链接两个节点的边可模拟因果变量对效果变量的灰色因果影响。由于FGCM是混合使用灰色系统和模糊认知图的混合方法，因此，每个原因都是通过其灰色强度来衡量的。本研究提出了一种改进的FGCM构造过程，提出了一个强度值来分配灰色因果影响的振动，从而处理因果影响对专家建议最初规定的影响变量的信任。在与放疗治疗计划选择有关的众所周知的医学决策问题中实施了探索的方法，FCM先前已经证明了其在决策支持中的有用性。通过检查的医学问题，FGCM展示了其功能和动态能力，可以更好地进行人为决策。

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