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Investigation of Robotics Technology Based on Bipolar Complex Intuitionistic Fuzzy Soft Relation

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Abstract

Today robotics technology will increase economic growth and productivity and create new career opportunities for many people worldwide. Robotics is a branch of study concerned with the creation of robots and automation, and robotics is a programmable machine that can fulfill a task. In this paper, we want to evaluate the novel concept of bipolar complex intuitionistic fuzzy soft relation (BCIFSRs) by employing the Cartesian product of two bipolar complex intuitionistic fuzzy soft which are computed with the aid of two distinct concepts, referred to as BCIR relation and soft sets. The major objective is to create some innovative and useful notions that may be used to handle uncomfortable and unreliable information in practical situations. Additionally, we examined various types of relations and also justified them with the aid of some appropriate examples. The BCIFSRs have a broad framework because it is discussing both positive and negative aspects of membership and non-membership degrees with multidimensional variables. The proposed idea is more dominant and superior to the pre-existing ideas. Further, the application of the proposed method is illustrated to select the best robots. Robots can often improve output, effectiveness, product quality, and consistency. Furthermore, a score function is established for the proposed structures to choose the best robotics. Finally, a comparison with existing frameworks explains the benefits of the proposed frameworks.

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Acknowledgements

This work was supported in part by the Brain Pool program funded by the Ministry of Science and ICT through the National Research Foundation of Korea (Grant No. 2022H1D3A2A02060097).

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Authors and Affiliations

  1. Department of Software, Korea National University of Transportation, Chungju, 27469, Korea

    Jeonghwan Gwak & Naeem Jan

  2. Department of Biomedical Engineering, Korea National University of Transportation, Chungju, 27469, Korea

    Jeonghwan Gwak

  3. Department of AI Robotics Engineering, Korea National University of Transportation, Chungju, 27469, Korea

    Jeonghwan Gwak

  4. Department of IT & Energy Convergence (BK21 FOUR), Korea National University of Transportation, Chungju, 27469, Korea

    Jeonghwan Gwak

  5. School of Mathematics, Thapar Institute of Engineering & Technology (Deemed University), Patiala, Punjab, 147004, India

    Harish Garg

  6. Department of Mathematics, Graphic Era Deemed to Be University, Dehradun, Uttarakhand, 248002, India

    Harish Garg

  7. Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan

    Harish Garg

  8. College of Technical Engineering, The Islamic University, Najaf, Iraq

    Harish Garg

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  1. Jeonghwan Gwak
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Correspondence to Harish Garg.

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Gwak, J., Garg, H. & Jan, N. Investigation of Robotics Technology Based on Bipolar Complex Intuitionistic Fuzzy Soft Relation. Int. J. Fuzzy Syst. 25, 1834–1852 (2023). https://doi.org/10.1007/s40815-023-01487-0

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  • DOI: https://doi.org/10.1007/s40815-023-01487-0

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