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A Predictive Analysis of Key Factors Defining the Successful International Trades in the Environment of Complex Cubic Fuzzy Information

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Abstract

The prosperity of a country is defined by its economic structure. The exports play an important role in the economy of a country and its development. Thus, this research mainly focuses on the said subjects. Furthermore, some innovative structures are developed as the generalizations of fuzzy set theory which were successfully applied to explain the relations of some key factors of a country’s exports. The goal is to increase the exports and economy by studying the influences of relevant factors. This research introduces the complex cubic fuzzy relation (CoCFR) which is the subset of Cartesian product of two complex cubic fuzzy sets (CoCFSs) and its types with appropriate examples. Practically speaking, the proposed relations specify the level of impacts of one factor on the other factors with respect to the time period. In addition, the Hasse diagram for CoCFS and CoCFR is defined. Furthermore, an application is explained that proposes the methods for the identification of the most influencing factor through the Hasse diagram. Lastly, the advantages of the proposed methods are illuminated through comparison tests.

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Authors and Affiliations

  1. Department of Mathematics, Institute of Numerical Sciences, Gomal University, Dera Ismail Khan, 29050, KPK, Pakistan

    Naeem Jan, Rabia Maqsood & Abdul Nasir

  2. Department of Computer Scienc and Information Technology, University of Lahore, Lahore, Pakistan

    Muhammad Arif

  3. Department of Software, Korea National University of Transportation, Chungju, 27469, South Korea

    Jeonghwan Gwak

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

    Jeonghwan Gwak

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

    Jeonghwan Gwak

  6. Department of IT and Energy Convergence (BK21 FOUR), Korea National University of Transportation, Chungju, 27469, South Korea

    Jeonghwan Gwak

Authors
  1. Naeem Jan
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  2. Rabia Maqsood
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  3. Abdul Nasir
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  4. Muhammad Arif
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  5. Jeonghwan Gwak
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Correspondence to Jeonghwan Gwak.

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Jan, N., Maqsood, R., Nasir, A. et al. A Predictive Analysis of Key Factors Defining the Successful International Trades in the Environment of Complex Cubic Fuzzy Information. Int. J. Fuzzy Syst. 24, 2673–2686 (2022). https://doi.org/10.1007/s40815-022-01320-0

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  • DOI: https://doi.org/10.1007/s40815-022-01320-0

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