IDEAS home Printed from https://ideas.repec.org/a/wly/complx/v2022y2022i1n8635521.html

A New Approach to Decision‐Making Problem under Complex Pythagorean Fuzzy Information

Author

Listed:
  • Shakoor Muhammad
  • Riaz Ali
  • Saleem Abdullah
  • Samuel Okyere

Abstract

In daily life, decision‐making (DM) problem is a complicated work related to uncertainties and vagueness. To overcome these imprecisions, many fuzzy sets and theories have been presented by different scholars. Probabilistic models are the communal models proposed for the management of uncertainties. On the other hand, if these uncertainties are not probabilistic in nature, then other models such as fuzzy linguistic and fuzzy logic are developed. Here, a new approach known as the complex Pythagorean fuzzy Maclaurin symmetric mean (CPFMSM) operator is used to handle these uncertainties in DM issues. This complex Pythagorean fuzzy set (CPFS) is a modified form of the Pythagorean fuzzy set (PFS) and of the complex intuitionistic fuzzy set (CIFS). The aggregation operators have the ability to combine different sources of information. Therefore, an aggregation operator known as the MSM operator is utilized under the complex Pythagorean fuzzy (CPF) environment to extend the theory and applications of traditional MSM. For this purpose, we devised new operators known as CPFMSM and CPF dual Maclaurin symmetric mean (CPFDMSM) to aggregate CPF data. To evaluate an emergency program, the MAGDM approach is used, which is based on the newly introduced operators. Furthermore, the viability and applicability of the propounded method are certified by a detailed analysis with the other approaches researched in the past.

Suggested Citation

  • Shakoor Muhammad & Riaz Ali & Saleem Abdullah & Samuel Okyere, 2022. "A New Approach to Decision‐Making Problem under Complex Pythagorean Fuzzy Information," Complexity, John Wiley & Sons, vol. 2022(1).
    • Handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:8635521
    DOI: 10.1155/2022/8635521
    as

    Download full text from publisher

    File URL: https://doi.org/10.1155/2022/8635521
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/8635521?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hu-Chen Liu & Jian-Xin You & Shouming Chen & Yi-Zeng Chen, 2016. "An integrated failure mode and effect analysis approach for accurate risk assessment under uncertainty," IISE Transactions, Taylor & Francis Journals, vol. 48(11), pages 1027-1042, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Hu-Chen & You, Xiao-Yue & Xue, Yi-Xi & Luan, Xue, 2017. "Exploring critical factors influencing the diffusion of electric vehicles in China: A multi-stakeholder perspective," Research in Transportation Economics, Elsevier, vol. 66(C), pages 46-58.
    2. Zhi-Jiao Du & Zhi-Xiang Chen & Su-Min Yu, 2021. "Improved Failure Mode and Effect Analysis: Implementing Risk Assessment and Conflict Risk Mitigation with Probabilistic Linguistic Information," Mathematics, MDPI, vol. 9(11), pages 1-20, May.
    3. Huang, Jia & Li, Zhaojun(Steven) & Liu, Hu-Chen, 2017. "New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 302-309.
    4. Liang Li & Yanwu Liu & Yan Tu & Xiaoyang Zhou & Benjamin Lev, 2022. "A Novel Group TODIM Method Based on Multi-Granularity Proportional Hesitant Fuzzy Linguistic Term Sets for Water Resources Risk Evaluation," Group Decision and Negotiation, Springer, vol. 31(5), pages 913-944, October.
    5. Sheng-Li Si & Xiao-Yue You & Hu-Chen Liu & Jia Huang, 2017. "Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach," IJERPH, MDPI, vol. 14(8), pages 1-17, August.
    6. Changfeng Yuan & Hui Cui & Bin Tao & Siming Ma, 2018. "Cause factors in emergency process of fire accident for oil–gas storage and transportation based on fault tree analysis and modified Bayesian network model," Energy & Environment, , vol. 29(5), pages 802-821, August.
    7. Liu, Hu-Chen & Li, Zhaojun & Zhang, Jian-Qing & You, Xiao-Yue, 2018. "A large group decision making approach for dependence assessment in human reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 135-144.
    8. Divya Choudhary & Alok Choudhary & Ravi Shankar & Christian Hicks, 2025. "Evaluating the risk exposure of sustainable freight transportation: a two-phase solution approach," Annals of Operations Research, Springer, vol. 349(2), pages 981-1015, June.
    9. Jalil Heidary Dahooie & Amir Salar Vanaki & Hamid Reza Firoozfar & Edmundas Kazimieras Zavadskas & Audrius Čereška, 2020. "An Extension of the Failure Mode and Effect Analysis with Hesitant Fuzzy Sets to Assess the Occupational Hazards in the Construction Industry," IJERPH, MDPI, vol. 17(4), pages 1-22, February.
    10. Chao Song & Jian-Qiang Wang & Jun-Bo Li, 2020. "New Framework for Quality Function Deployment Using Linguistic Z-Numbers," Mathematics, MDPI, vol. 8(2), pages 1-20, February.
    11. Huang, Jia & You, Jian-Xin & Liu, Hu-Chen & Song, Ming-Shun, 2020. "Failure mode and effect analysis improvement: A systematic literature review and future research agenda," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    12. Ke-Qin Wang & Hu-Chen Liu & Liping Liu & Jia Huang, 2017. "Green Supplier Evaluation and Selection Using Cloud Model Theory and the QUALIFLEX Method," Sustainability, MDPI, vol. 9(5), pages 1-17, April.
    13. Faghih-Roohi, Shahrzad & Akcay, Alp & Zhang, Yingqian & Shekarian, Ehsan & de Jong, Eelco, 2020. "A group risk assessment approach for the selection of pharmaceutical product shipping lanes," International Journal of Production Economics, Elsevier, vol. 229(C).
    14. Zhen Wang & Rongxi Wang & Wei Deng & Yong Zhao, 2022. "An Integrated Approach-Based FMECA for Risk Assessment: Application to Offshore Wind Turbine Pitch System," Energies, MDPI, vol. 15(5), pages 1-25, March.
    15. Jianghong Zhu & Bin Shuai & Rui Wang & Kwai-Sang Chin, 2019. "Risk Assessment for Failure Mode and Effects Analysis Using the Bonferroni Mean and TODIM Method," Mathematics, MDPI, vol. 7(6), pages 1-17, June.
    16. Liu, Peide & Li, Ying, 2021. "An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    17. Dan-Ping Li & Li Xie & Peng-Fei Cheng & Xiang-Hong Zhou & Cheng-Xun Fu, 2021. "Green Supplier Selection Under Cloud Manufacturing Environment: A Hybrid MCDM Model," SAGE Open, , vol. 11(4), pages 21582440211, November.
    18. Zhang, Hengjie & Dong, Yucheng & Xiao, Jing & Chiclana, Francisco & Herrera-Viedma, Enrique, 2021. "Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    19. Li, Ying & Liu, Peide & Li, Gang, 2023. "An asymmetric cost consensus based failure mode and effect analysis method with personalized risk attitude information," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    20. Wang, Qun & Jia, Guozhu & Jia, Yuning & Song, Wenyan, 2021. "A new approach for risk assessment of failure modes considering risk interaction and propagation effects," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:complx:v:2022:y:2022:i:1:n:8635521. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://onlinelibrary.wiley.com/journal/8503 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.