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Selection of artificial intelligence tool for blind assistance based on Dombi aggregation operators for intuitionistic linguistic decision-making problems

Author

Listed:
  • Zeeshan Ali

    (National Yunlin University of Science and Technology)

  • Tapan Senapati

    (Southwest University
    Saveetha Institute of Medical and Technical Sciences
    Chitkara University Institute of Engineering and Technology, Chitkara University)

  • Sarbast Moslem

    (University College of Dublin
    Trinity College Dublin, The University of Dublin
    Azerbaijan State University of Economics (UNEC))

Abstract

The selection of an artificial intelligence tool or technique for blind assistance contains numerous factors that analyze the validity and capability of the solution in giving safety, autonomy, and accessibility to visually compromised people. The model or technique of AI tools planned for this perseverance typically goal to assist with object recognition, reading, navigation, and real-time interaction with the situation. The fundamental goal of this theory is to develop the Dombi operational laws for intuitionistic linguistic numbers. In addition, we analyze the informative form of intuitionistic linguistic Dombi weighted averaging operator, intuitionistic linguistic Dombi ordered weighted averaging operator, intuitionistic linguistic Dombi weighted geometric operator, and intuitionistic linguistic Dombi ordered weighted geometric operator with numerous vital properties. To help the visually impaired and blind people be independent, this manuscript determines a moveable electronic assistive device based on artificial intelligence. For this, we analyze the decision-making problems for introduced operators to evaluate the significant or central device for assessing blind people independently. Lastly, we explain numerous illustrations to compare suggested operators and prevailing procedures to perform the expertise and rationality of the introduced information.

Suggested Citation

  • Zeeshan Ali & Tapan Senapati & Sarbast Moslem, 2025. "Selection of artificial intelligence tool for blind assistance based on Dombi aggregation operators for intuitionistic linguistic decision-making problems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 16(5), pages 1844-1864, May.
    • Handle: RePEc:spr:ijsaem:v:16:y:2025:i:5:d:10.1007_s13198-024-02683-3
    DOI: 10.1007/s13198-024-02683-3
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    References listed on IDEAS

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    1. Huimin Zhang, 2014. "Linguistic Intuitionistic Fuzzy Sets and Application in MAGDM," Journal of Applied Mathematics, Hindawi, vol. 2014, pages 1-11, April.
    2. P. Senthil Kumar, 2020. "Algorithms for solving the optimization problems using fuzzy and intuitionistic fuzzy set," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(1), pages 189-222, February.
    3. Peide Liu & Hui Gao, 2018. "An overview of intuitionistic linguistic fuzzy information aggregations and applications," Marine Economics and Management, Emerald Group Publishing Limited, vol. 1(1), pages 55-78, July.
    4. Huimin Zhang, 2014. "Linguistic Intuitionistic Fuzzy Sets and Application in MAGDM," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).
    5. Huan Zhou & Jing Wang & Xin-E. Li & Jian-qiang Wang, 2016. "Intuitionistic hesitant linguistic sets and their application in multi-criteria decision-making problems," Operational Research, Springer, vol. 16(1), pages 131-160, April.
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