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Exploration of transcultural properties of the reduced version of the Morningness-Eveningness Questionnaire (rMEQ) using adaptive neuro-fuzzy inference system

机译:利用自适应神经模糊推理系统探索简化版《早晚问卷》(rMEQ)的跨文化特性

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The reduced version of the Morningness-Eveningness Questionnaire (rMEQ) is widely used to study morningness orientation. The fuzzy analysis helps mapping outputs of the questionnaire irrespective of linguistic and cross-cultural aspects in an efficient manner. In the present study, the rMEQ was administered to a convenience sample of university students (N = 2660) in four different countries and responses have been quantified by using an adaptive neuro-fuzzy inference system for the cross-cultural comparison and then the quantified values are used to construct the proposed model. The cross-country fuzzy morningness value showed that environmental temperature has definite influence on morningness orientation but other factors may also have a role. The developed model can be universally used to analyse the morning-evening orientation of people more precisely without cross-language and cross-cultural biases and it would become a potential tool for interpretation of morningness scores and counselling of individuals.
机译:简化版的《早晨-晚上问卷》(rMEQ)被广泛用于研究早晨取向。模糊分析有助于以有效的方式映射调查表的输出,而与语言和跨文化方面无关。在本研究中,将rMEQ应用于四个不同国家/地区的方便学生样本(N = 2660),并通过使用自适应神经模糊推理系统进行跨文化比较来量化响应,然后量化值用于构建建议的模型。越野模糊早晨值表明,环境温度对早晨定向有一定影响,但其他因素也可能起作用。所开发的模型可以普遍用于更准确地分析人们的早晨-晚上取向,而不会出现跨语言和跨文化的偏见,它将成为解释早晨得分和个人咨询的潜在工具。

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