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An Investigation Tool for Mounting Sustainable Practice: Modeling Using GIVTFNs in an Indian Context

Author

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  • Atul Kumar Sahu

    (Guru Ghasidas (Central) Vishwavidyalaya, Bilaspur, India)

  • Nitin Kumar Sahu

    (Guru Ghasidas (Central) Vishwavidyalaya, Bilaspur, India)

  • Anoop Kumar Sahu

    (Guru Ghasidas (Central) Vishwavidyalaya, Bilaspur, India)

  • Mridul Singh Rajput

    (National Institute of Technology, Raipur, India)

  • Harendra Kumar Narang

    (National Institute of Technology, Raipur, India)

Abstract

Smart mobile devices of the present era offer many services i.e. SMS, gaming, a camera, navigation, the Internet, television, etc., and their utilization has significantly risen during the last decades. Today, individuals are addicted to mobiles and cannot think of living without using them. Conversely, these mobiles become obsolete due to certain shortcomings and are eventually replaced with new ones and thus create e-waste, which are alarmed as threat to the society. In this work, the authors describe mobiles and e-waste in a closed loop structure for supporting green issues. The work has rooted generalized interval-valued trapezoidal fuzzy numbers (GIVTFNs) with a degree of similarity measure approach to model the rationale and to furnish decision results. The authors developed a decision support system to prevent e-waste by defining significant inadequacy liable for the larger alteration of working mobiles. The present study demonstrates the technical model under an Indian context to verify its applicability, but it can be used it under any regional or worldwide scenario.

Suggested Citation

  • Atul Kumar Sahu & Nitin Kumar Sahu & Anoop Kumar Sahu & Mridul Singh Rajput & Harendra Kumar Narang, 2020. "An Investigation Tool for Mounting Sustainable Practice: Modeling Using GIVTFNs in an Indian Context," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 12(2), pages 25-49, April.
  • Handle: RePEc:igg:jdsst0:v:12:y:2020:i:2:p:25-49
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    Cited by:

    1. Mahendar Goli & Anoop Kumar Sahu & Surajit Bag & Pavitra Dhamija, 2023. "Users' Acceptance of Artificial Intelligence-Based Chatbots: An Empirical Study," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 19(1), pages 1-18, January.

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