Interval Type-2 Fuzzy Logic Adaptive Modelling for Human Operators Undergoing Mental Stress
Interval Type-2 Fuzzy Logic Adaptive Modelling for Human Operators Undergoing Mental Stress
复制标题
针对承受精神压力的操作员的区间 2 类模糊逻辑自适应建模
DOI：
10.3182/20140824-6-za-1003.00849
复制
发表时间：
2014
期刊：
影响因子：
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通讯作者：
O. Obajemu
中科院分区：
文献类型：
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作者：
L. A. Torres;M. Mahfouf;O. Obajemu
摘要本文提出了一个模拟设计框架和结果，人类参与者经历的精神压力。当参与者在自动化增强的机舱空气管理系统模拟器上的模拟控制过程中执行操作时，实现了精神压力场景。使用心理生理学标记（心率变异性和任务负荷指数）作为输入的先前实验的记录以及输出性能标记（范围内时间）用于离线建模训练和验证。区间型2模糊逻辑（IT2FL）结构优化与遗传算法和一个有效的类型减少算法，被选为建模技术。结果表明，IT2FL系统的能力，以科普额外的不确定性水平，并适应重要的输入输出关系的模型验证的变化。这些结果超过了1型Mamdani模糊逻辑系统的验证性能，以前以类似的方式构建和验证。所构建的模型提供了一个足够的框架，可用于防止操作员故障。
Abstract This paper presents a modelling design framework and results for human participants undergoing mental stress. A mental stressful scenario is achieved while participants perform operations in a simulated control process on an automation-enhanced Cabin Air Management System simulator. Recordings from a previous experiment using psychophysiological markers (Heart Rate Variability and Task Load Index) as inputs with an output performance marker (Time In Range) were used for offline modelling training and validation. Interval Type-2 Fuzzy Logic (IT2FL) architecture optimized with Genetic Algorithms and with an efficient type-reduction algorithm, was selected as the modelling technique. Results demonstrate the ability of IT2FL systems to cope with an additional level of uncertainty and to adapt to important input-output relation changes on validation of the model. These results surpass performance in validation of a type 1 Mamdani Fuzzy Logic system constructed and validated previously in a similar fashion. The constructed model provides an adequate framework that can be used for the prevention of operator breakdown.
影响因子：
56.9
作者：
AKSELROD, S;GORDON, D;COHEN, RJ
通讯作者：
COHEN, RJ
DOI：
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发表时间：
2004
期刊：
--
影响因子：
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作者：
T. Shallice
通讯作者：
T. Shallice