IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i19p12473-d930410.html
   My bibliography  Save this article

An Integrated Decision-Making Model Based on Plithogenic-Neutrosophic Rough Number for Sustainable Financing Enterprise Selection

Author

Listed:
  • Peiwen Wang

    (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)

  • Yan Lin

    (School of Maritime Economics and Management, Dalian Maritime University, Dalian 116026, China)

  • Zhiping Wang

    (College of Science, Dalian Maritime University, Dalian 116026, China)

Abstract

Due to the continuous improvement of people’s awareness of sustainable development, sustainable financing enterprise selection (SFES) has gradually become a hotspot in the field of multi-criteria group decision-making (MCGDM). In the environment of increasing risk factors, how to accurately and objectively select the optimal enterprise for financing is still pending. Thus, this paper proposes an integrated plithogenic-neutrosophic rough number (P-NRN) information aggregation decision model. The model is adapted to group decision-making by taking advantages of plithogenic set operations in handling uncertainty and vagueness and the merit of NRN in eliminating imprecision and subjectivity of decision-makers (DM) in evaluating information boundaries. Then, this paper develops an MCGDM framework based on the weight determination techniques and complex proportional assessment (COPRAS). Moreover, by extending the similarity measure theory and the maximizing deviation method, the weights of DMs and risk criteria are derived, respectively. After obtaining the results of P-NRN information aggregation and weight evaluation, we apply COPRAS to conduct alternative ranking and select the optimal one. The proposed model is successfully implemented in a real case of financing enterprise selection, and comparisons with five representative tools from three decision-making phases are performed to verify the superiority of the model in dealing with uncertainty and subjectivity.

Suggested Citation

  • Peiwen Wang & Yan Lin & Zhiping Wang, 2022. "An Integrated Decision-Making Model Based on Plithogenic-Neutrosophic Rough Number for Sustainable Financing Enterprise Selection," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:12473-:d:930410
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/19/12473/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/19/12473/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Bo & An, Si-min & Song, Dong-ping, 2018. "Selection of financing strategies with a risk-averse supplier in a capital-constrained supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 163-183.
    2. Baohong Li & Yingdong Huo & Shi Yin, 2022. "Sustainable Financing Efficiency and Environmental Value in China’s Energy Conservation and Environmental Protection Industry under the Double Carbon Target," Sustainability, MDPI, vol. 14(15), pages 1-25, August.
    3. Kim, Karam & Ryu, Doojin & Yang, Heejin, 2021. "Information uncertainty, investor sentiment, and analyst reports," International Review of Financial Analysis, Elsevier, vol. 77(C).
    4. Xuedong Liang & Xianli Zhao & Min Wang & Zhi Li, 2018. "Small and Medium-Sized Enterprises Sustainable Supply Chain Financing Decision Based on Triple Bottom Line Theory," Sustainability, MDPI, vol. 10(11), pages 1-17, November.
    5. Wang, Yanan & Yin, Shiwen & Fang, Xiaoli & Chen, Wei, 2022. "Interaction of economic agglomeration, energy conservation and emission reduction: Evidence from three major urban agglomerations in China," Energy, Elsevier, vol. 241(C).
    6. Tseng, Ming-Lang & Lim, Ming K. & Wu, Kuo-Jui, 2019. "Improving the benefits and costs on sustainable supply chain finance under uncertainty," International Journal of Production Economics, Elsevier, vol. 218(C), pages 308-321.
    7. Nainsi Gupta & Gunjan Soni, 2021. "A Decision-Making Framework for Sustainable Supply Chain Finance in Post-COVID Era," International Journal of Global Business and Competitiveness, Springer, vol. 16(1), pages 29-38, December.
    8. Thomas McDermott & Alan Stainer & Lorice Stainer, 2005. "Contaminated land: bank credit risk for small and medium size UK enterprises," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 5(1), pages 1-13.
    9. James J.H. Liou & Jolanta Tamošaitienė & Edmundas K. Zavadskas & Gwo-Hshiung Tzeng, 2016. "New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 114-134, January.
    10. Pengran Zhou & Pengfei Zhou & Serhat Yüksel & Hasan Dinçer & Gülsüm Sena Uluer, 2019. "Balanced Scorecard-Based Evaluation of Sustainable Energy Investment Projects with IT2 Fuzzy Hybrid Decision Making Approach," Energies, MDPI, vol. 13(1), pages 1-20, December.
    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. Soni, Gunjan & Kumar, Satish & Mahto, Raj V. & Mangla, Sachin K. & Mittal, M.L. & Lim, Weng Marc, 2022. "A decision-making framework for Industry 4.0 technology implementation: The case of FinTech and sustainable supply chain finance for SMEs," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    2. Ratri Parida & Manoj Kumar Dash & Anil Kumar & Edmundas Kazimieras Zavadskas & Sunil Luthra & Eyob Mulat‐weldemeskel, 2022. "Evolution of supply chain finance: A comprehensive review and proposed research directions with network clustering analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(5), pages 1343-1369, October.
    3. Yuehua Xia & Honggen Long & Zhi Li & Jiasen Wang, 2022. "Farmers’ Credit Risk Assessment Based on Sustainable Supply Chain Finance for Green Agriculture," Sustainability, MDPI, vol. 14(19), pages 1-20, October.
    4. Yubin Yang & Xuejian Chu & Ruiqi Pang & Feng Liu & Peifang Yang, 2021. "Identifying and Predicting the Credit Risk of Small and Medium-Sized Enterprises in Sustainable Supply Chain Finance: Evidence from China," Sustainability, MDPI, vol. 13(10), pages 1-19, May.
    5. Yang, Yang & Liu, Jie & Hu, Taizhong, 2023. "Capital allocation and pricing decisions under trade credit with time-sensitive stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    6. Zhang, Lu & Cui, Li & Chen, Lujie & Dai, Jing & Jin, Ziyi & Wu, Hao, 2023. "A hybrid approach to explore the critical criteria of online supply chain finance to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 255(C).
    7. Edmundas Kazimieras Zavadskas & Fausto Cavallaro & Valentinas Podvezko & Ieva Ubarte & Arturas Kaklauskas, 2017. "MCDM Assessment of a Healthy and Safe Built Environment According to Sustainable Development Principles: A Practical Neighborhood Approach in Vilnius," Sustainability, MDPI, vol. 9(5), pages 1-30, April.
    8. Amin Mahmoudi & Saad Ahmed Javed, 2022. "Probabilistic Approach to Multi-Stage Supplier Evaluation: Confidence Level Measurement in Ordinal Priority Approach," Group Decision and Negotiation, Springer, vol. 31(5), pages 1051-1096, October.
    9. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2022. "Scheduled macroeconomic news announcements and intraday market sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    10. Pedro Jose Gudiel Pineda & Chao-Che Hsu & James J. H. Liou & Huai-Wei Lo, 2018. "A Hybrid Model for Aircraft Type Determination Following Flight Cancellation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1147-1172, July.
    11. Kajjoune, Oussama & Aouam, Tarik & Zouadi, Tarik & Ranjan, Ravi Prakash, 2023. "Dynamic lot-sizing in a two-stage supply chain with liquidity constraints and financing options," International Journal of Production Economics, Elsevier, vol. 258(C).
    12. Chuan Qin & Yi-Tian Hong, 2023. "Quadripartite Evolutionary Game of Sustainable Development of Supply Chain Finance with Government Participation," Sustainability, MDPI, vol. 15(4), pages 1-22, February.
    13. Lo, Huai-Wei & Liou, James J.H. & Huang, Chun-Nen & Chuang, Yen-Ching & Tzeng, Gwo-Hshiung, 2020. "A new soft computing approach for analyzing the influential relationships of critical infrastructures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
    14. Faranak Emtehani & Nasim Nahavandi & Farimah Mokhatab Rafiei, 2023. "Trade credit financing for supply chain coordination under financial challenges: a multi-leader–follower game approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-39, December.
    15. Weijie Jiang & Jiaying Dai & Kairui Cao & Laiqun Jin, 2023. "Who Needs to Save Energy and Reduce Emissions? Perspective of Energy Misallocation and Economies of Scale," IJERPH, MDPI, vol. 20(3), pages 1-20, January.
    16. Frank Figge & Andrea Stevenson Thorpe & Siarhei Manzhynski & Melissa Gutberlet, 2022. "The us in reUSe. Theorizing the how and why of the circular economy," Business Strategy and the Environment, Wiley Blackwell, vol. 31(6), pages 2741-2753, September.
    17. Büyüközkan, Gülçin & Güleryüz, Sezin, 2016. "An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey," International Journal of Production Economics, Elsevier, vol. 182(C), pages 435-448.
    18. Song, Ziyu & Yu, Changrui, 2022. "Investor sentiment indices based on k-step PLS algorithm: A group of powerful predictors of stock market returns," International Review of Financial Analysis, Elsevier, vol. 83(C).
    19. Dan Su & Yi-Sheng Liu & Xin-Tong Li & Xiao-Yan Chen & Dong-Han Li, 2020. "Management Path of Concrete Beam Bridge in China from the Perspective of Sustainable Development," Sustainability, MDPI, vol. 12(17), pages 1-22, September.
    20. Xu, Song & Fang, Lei, 2020. "Partial credit guarantee and trade credit in an emission-dependent supply chain with capital constraint," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).

    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:gam:jsusta:v:14:y:2022:i:19:p:12473-:d:930410. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.