Transportation strategy decision-making process using interval-valued complex fuzzy soft information

Naeem Jan; Jeonghwan Gwak; Juhee Choi; Sung Woo Lee; Chul Su Kim; Naeem Jan; Jeonghwan Gwak; Juhee Choi; Sung Woo Lee; Chul Su Kim

doi:10.3934/math.2023182

AIMS Mathematics

2023, Volume 8, Issue 2: 3606-3633. doi: 10.3934/math.2023182

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Transportation strategy decision-making process using interval-valued complex fuzzy soft information

1.
Department of Software, Korea National University of Transportation, Chungju 27469, Korea
2.
Department of Biomedical Engineering, Korea National University of Transportation, Chungju 27469, Korea
3.
Department of AI Robotics Engineering, Korea National University of Transportation, Chungju 27469, Korea
4.
Department of IT & Energy Convergence (BK21 FOUR), Korea National University of Transportation, Chungju 27469, Korea
5.
Department of Smart Information Communication Engineering, Sangmyung University, 31 Sangmyungdae-gil, Dongnam-gu, Cheonan 31066, Korea
6.
META Tech Center, S-net systems, Seoul, Korea
7.
School of Railway Engineering, Korea National University of Transportation, Uiwang 16106, Korea

Received: 19 September 2022 Revised: 20 October 2022 Accepted: 07 November 2022 Published: 23 November 2022
MSC : 03E72, 03E99, 08A72

Transportation is among the more vital economic activities for a business and our daily life actions. At present, transport is one of the key branches playing a crucial role in the development of the economy. Transportation decision-making looks for ways to solve current and anticipated transportation problems while avoiding future problems. An interval-valued complex fuzzy set (IVCFS) is an extended form of fuzzy, interval-valued fuzzy and complex fuzzy sets, and it is used to evaluate complex and inaccurate information in real-world applications. In this research, we aim to examine the novel concept of IVCF soft relations (IVCFSRs) by utilizing the Cartesian product (CP) of two IVCF soft sets (IVCFSSs), which are determined with the help of two different concepts, referred to as IVCF relation and soft sets. Moreover, we investigated various types of relations and also explained them with the help of some appropriate examples. The IVCFSRs have a comprehensive structure discussing due dealing with the degree of interval-valued membership with multidimensional variables. Moreover, IVCFSR-based modeling techniques are included, and they use the score function to select the suitable transportation strategy to improve the value of the analyzed data. Finally, to demonstrate the effectiveness of the suggested work, comparative analysis with existing methods is performed.
Citation: Naeem Jan, Jeonghwan Gwak, Juhee Choi, Sung Woo Lee, Chul Su Kim. Transportation strategy decision-making process using interval-valued complex fuzzy soft information[J]. AIMS Mathematics, 2023, 8(2): 3606-3633. doi: 10.3934/math.2023182

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Abstract

Transportation is among the more vital economic activities for a business and our daily life actions. At present, transport is one of the key branches playing a crucial role in the development of the economy. Transportation decision-making looks for ways to solve current and anticipated transportation problems while avoiding future problems. An interval-valued complex fuzzy set (IVCFS) is an extended form of fuzzy, interval-valued fuzzy and complex fuzzy sets, and it is used to evaluate complex and inaccurate information in real-world applications. In this research, we aim to examine the novel concept of IVCF soft relations (IVCFSRs) by utilizing the Cartesian product (CP) of two IVCF soft sets (IVCFSSs), which are determined with the help of two different concepts, referred to as IVCF relation and soft sets. Moreover, we investigated various types of relations and also explained them with the help of some appropriate examples. The IVCFSRs have a comprehensive structure discussing due dealing with the degree of interval-valued membership with multidimensional variables. Moreover, IVCFSR-based modeling techniques are included, and they use the score function to select the suitable transportation strategy to improve the value of the analyzed data. Finally, to demonstrate the effectiveness of the suggested work, comparative analysis with existing methods is performed.

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