A Fuzzy Reasoning Approach for Assessing Morningness of Individuals Using Reduced Version of Morningness-Eveningness Questionnaire

被引：0
|
作者：
Debasish Majumder
Subhashis Sahu
Animesh Biswas
机构：
[1] JIS College of Engineering,Department of Mathematics
[2] University of Kalyani,Department of Physiology
[3] University of Kalyani,Department of Mathematics
来源：
International Journal of Computational Intelligence Systems | 2017年 / 10卷
关键词：
Reduced version of Morningness-Eveningness Questionnaire; preference scale; fuzzy numbers; fuzzy reasoning; artificial intelligence;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this article assessment of morningness of individuals has been performed using fuzzy reasoning approach. The responses are quantified using fuzzy numbers. Based on experts’ opinion a fuzzy rule-base is prepared. The model is validated by considering responses of some students, selected randomly, and assessing their degree of morningness. The achieved results are compared with that of existing classical method. Results show that proposed approach outperforms the existing classical approaches by capturing the inherent ambiguity and vagueness of morningness study.
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页码：347 / 362
页数：15
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