Perceptual-ability informally refers to the ability of a person to recognize a stimulus. This article deals with color perceptual-ability measurement of subjects using brain response to basic color (red, green, and blue) stimuli. It also attempts to determine the subjective ability to recognize the base colors in the presence of noise tolerance of the base colors, referred to as recognition tolerance. Because of intrasession and intersession variations in subjective brain signal features for a given color stimulus, there exists uncertainty in perceptual-ability. In addition, small variations in the color stimulus result in wide variations in brain signal features, introducing uncertainty in the perceptual-ability of the subject. Type-2 fuzzy logic has been employed to handle the uncertainty in color perceptual-ability measurements due to: 1) variations in brain signal features for a given color and 2) the presence of colored noise on the base colors. Because of the limited power of uncertainty management of the interval type-2 fuzzy sets and high computational overhead of its general type-2 counterpart, we develop a semi-general type-2 fuzzy classifier to recognize the base color. It is important to note that the proposed technique transforms a vertical slice-based general type-2 fuzzy set (GT2FS) into an equivalent interval type-2 counterpart to reduce the computational overhead, without losing the contributions of the secondary memberships. The proposed Semi-GT2FSs-induced classifier yields superior performance in classification accuracy with respect to existing type-1, type-2, and other well-known classifiers. The brain-understanding of a perceived base or noisy base colors is also obtained by exact low-resolution electromagnetic topographic analysis (e-LORETA) software. This is used as the reference for our experimental results of the semi-general type-2 classifier in color perceptual-ability detection. Statistical tests undertaken confirm the superiority of the proposed classifier over its competitors. The proposed technique is expected to have interesting applications in identifying people with excellent color perceptual-ability for chemical, pharmaceutical, and textile industries.

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EEG-Induced Type-2模糊分类器对主观色彩感知能力的探索

感知能力非正式地是指一个人识别刺激的能力。本文使用大脑对基本颜色（红色、绿色和蓝色）刺激的反应来处理受试者的颜色感知能力测量。它还试图确定在存在基色噪声容限的情况下识别基色的主观能力，称为识别容限。由于针对给定颜色刺激的主观大脑信号特征的会话内和会话间变化，感知能力存在不确定性。此外，颜色刺激的微小变化会导致大脑信号特征的广泛变化，从而导致受试者感知能力的不确定性。由于以下原因，已采用类型 2 模糊逻辑来处理颜色感知能力测量中的不确定性：1) 给定颜色的大脑信号特征的变化和 2) 基色上有色噪声的存在。由于区间 2 类模糊集的不确定性管理能力有限，并且其通用 2 类对应物的计算开销很高，我们开发了一个半通用的 2 类模糊分类器来识别基色。需要注意的是，所提出的技术将基于垂直切片的通用 2 类模糊集 (GT2FS) 转换为等效的 2 类区间对应物，以减少计算开销，而不会丢失辅助成员的贡献。相对于现有的 1 类、2 类和其他知名分类器，所提出的 Semi-GT2FSs 诱导分类器在分类精度方面具有卓越的性能。通过精确的低分辨率电磁地形分析 (e-LORETA) 软件也可以获得对感知基色或嘈杂基色的大脑理解。这被用作我们在颜色感知能力检测中的半通用类型2分类器的实验结果的参考。进行的统计测试证实了所提议的分类器优于其竞争对手。预计所提出的技术将在化学、制药和纺织行业识别具有出色颜色感知能力的人方面具有有趣的应用。进行的统计测试证实了所提议的分类器优于其竞争对手。预计所提出的技术将在化学、制药和纺织行业识别具有出色颜色感知能力的人方面具有有趣的应用。进行的统计测试证实了所提议的分类器优于其竞争对手。预计所提出的技术将在化学、制药和纺织行业识别具有出色颜色感知能力的人方面具有有趣的应用。