Volume 10, Issue 1, 2017, Pages 347 - 362
A Fuzzy Reasoning Approach for Assessing Morningness of Individuals Using Reduced Version of Morningness-Eveningness Questionnaire
Authors
Debasish Majumdera, Subhashis Sahub, Animesh Biswasc, *
aDepartment of Mathematics, JIS College of Engineering, Kalyani – 741235, India
bDepartment of Physiology, University of Kalyani, Kalyani – 741235, India
cDepartment of Mathematics, University of Kalyani, Kalyani – 741235, India
*Corresponding author. E-mail: abiswaskln@rediffmail.com.
Corresponding Author
Animesh Biswas
Received 4 May 2016, Accepted 31 October 2016, Available Online 1 January 2017.
- DOI
- 10.2991/ijcis.2017.10.1.24How to use a DOI?
- Keywords
- Reduced version of Morningness-Eveningness Questionnaire; preference scale; fuzzy numbers; fuzzy reasoning; artificial intelligence
- Abstract
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.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Debasish Majumder AU - Subhashis Sahu AU - Animesh Biswas PY - 2017 DA - 2017/01/01 TI - A Fuzzy Reasoning Approach for Assessing Morningness of Individuals Using Reduced Version of Morningness-Eveningness Questionnaire JO - International Journal of Computational Intelligence Systems SP - 347 EP - 362 VL - 10 IS - 1 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2017.10.1.24 DO - 10.2991/ijcis.2017.10.1.24 ID - Majumder2017 ER -