Genetic Algorithm Based Hybrid Fuzzy System for Assessing Morningness
Joint Authors
Majumder, Debasish
Biswas, Animesh
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-15
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper describes a real life case example on the assessment process of morningness of individuals using genetic algorithm based hybrid fuzzy system.
It is observed that physical and mental performance of human beings in different time slots of a day are majorly influenced by morningness orientation of those individuals.
To measure the morningness of people various self-reported questionnaires were developed by different researchers in the past.
Among them reduced version of Morningness-Eveningness Questionnaire is mostly accepted.
Almost all of the linguistic terms used in questionnaires are fuzzily defined.
So, assessing them in crisp environments with their responses does not seem to be justifiable.
Fuzzy approach based research works for assessing morningness of people are very few in the literature.
In this paper, genetic algorithm is used to tune the parameters of a Mamdani fuzzy inference model to minimize error with their predicted outputs for assessing morningness of people.
American Psychological Association (APA)
Biswas, Animesh& Majumder, Debasish. 2014. Genetic Algorithm Based Hybrid Fuzzy System for Assessing Morningness. Advances in Fuzzy Systems،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-494348
Modern Language Association (MLA)
Biswas, Animesh& Majumder, Debasish. Genetic Algorithm Based Hybrid Fuzzy System for Assessing Morningness. Advances in Fuzzy Systems No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-494348
American Medical Association (AMA)
Biswas, Animesh& Majumder, Debasish. Genetic Algorithm Based Hybrid Fuzzy System for Assessing Morningness. Advances in Fuzzy Systems. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-494348
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-494348