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Interval Type-2 Mamdani Fuzzy Inference System for Morningness Assessment of Individuals

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Artificial Intelligence and Evolutionary Computations in Engineering Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 517))

Abstract

From the view point of revealing different preferences among the individuals, the assessment of individual typology, i.e., chronotype, is increasing largely in the recent past. Chronotype, recognized as a human attribute, is usually studied by self-reported instruments designed to find individual time of preference for daily activities in an easy manner. One of the criticisms of using these self-reported instruments includes the fact that total scores may not always reflect the actual chronotype of an individual. On the other hand, linguistic terms are used to address some of the items of these self-reported questionnaires. In this paper, an interval valued type-2 Mamdani fuzzy inference system has been proposed to assess chronotype of an individual. An illustrative case example is discussed for validation of the proposed model in the field chronobiology.

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Acknowledgments

The authors remain grateful to Dr. S. Sahu, Associate Professor, Department of Physiology, University of Kalyani, Kalyani, India for his kind support and expert suggestions in developing the model. The authors are thankful to the reviewers for their valued comments and suggestions to improve the quality of the article.

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Authors and Affiliations

  1. Department of Mathematics, JIS College of Engineering, Kalyani, 741235, India

    Debasish Majumder

  2. Department of Mathematics, University of Kalyani, Kalyani, 741235, India

    Joy Debnath & Animesh Biswas

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  1. Debasish Majumder
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  2. Joy Debnath
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  3. Animesh Biswas
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Correspondence to Animesh Biswas .

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Editors and Affiliations

  1. Department of Electrical and Electronics Engineering, SRM University, Chennai, Tamil Nadu, India

    Subhransu Sekhar Dash

  2. Department of Electrical and Electronics Engineering, SRM University, Chennai, Tamil Nadu, India

    K. Vijayakumar

  3. Department of Electrical and Electronics Engineering, Indian Institute of Technology Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

  4. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

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Majumder, D., Debnath, J., Biswas, A. (2017). Interval Type-2 Mamdani Fuzzy Inference System for Morningness Assessment of Individuals. In: Dash, S., Vijayakumar, K., Panigrahi, B., Das, S. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-10-3174-8_57

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  • DOI: https://doi.org/10.1007/978-981-10-3174-8_57

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