一类面向中风后吞咽功能障碍康复治疗的群体智慧涌现方法

发布时间：2018-06-10 20:29

本文选题：多属性群决策 + 群体智慧　；参考：《自动化学报》2017年07期

【摘要】：传统的中风后吞咽功能障碍康复治疗方案的制订通常以会诊方式,需要群体专家对所有可能的备选治疗方案进行讨论与决策,增加专家主观疲劳,且缺乏针对群体治疗智慧涌现方法的探讨,基层康复医师难以学习群体专家治疗智慧.基于多属性群决策理论,本文提出了群体智慧定义,给出了基于"专家讨论后的备选方案排序结果—子属性特征"的群体智慧涌现方法以及基于群体智慧的多属性决策方法,使计算机逐步学习群体专家经验并代替专家决策,减轻群体专家疲劳感,并具备针对未知备选方案进行自动决策的能力.针对一类数值实例,对传统多属性决策方法与所提决策方法进行了对比,并将所提方法应用于一类实际中风后吞咽功能障碍康复治疗中,验证了本文所提方法的正确性与可行性.
[Abstract]:The traditional rehabilitation treatment for post-stroke dysphagia is usually based on consultation, which requires a group of experts to discuss and make decisions on all possible treatment options, thus increasing the subjective fatigue of experts. Moreover, it is difficult for the primary rehabilitation doctors to learn the wisdom of group therapy because of the lack of discussion on the emergent methods of group therapy wisdom. Based on the theory of multi-attribute group decision making, this paper puts forward the definition of group intelligence, and gives the method of emergence of group intelligence based on "the result of sorting alternatives after expert discussion" and the method of multi-attribute decision-making based on group intelligence. The computer can gradually learn the experience of group experts and replace expert decision making, reduce the fatigue of group experts, and have the ability to make automatic decision for unknown alternatives. For a class of numerical examples, the traditional multi-attribute decision making method is compared with the proposed decision making method, and the proposed method is applied to the rehabilitation treatment of a class of actual dysphagia after stroke. The correctness and feasibility of the proposed method are verified.
【作者单位】：北京化工大学信息科学与技术学院;北京积水潭医院物理康复科;
【基金】：国家自然科学基金(61603023) 北京市优秀人才资助项目(2015000020124G041) 中国科学院复杂系统管理与控制国家重点实验室开放课题(20150103)资助~~
【分类号】：O225;R743.3

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