International Journal of Computational Intelligence Systems

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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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
10 - 1
Pages
347 - 362
Publication Date
2017/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.24How to use a DOI?
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/).

Cite this article

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  -