Skip to main content
SpringerLink
Log in

Decision Making Analysis of Traffic Accidents on Mountain Roads in Yunnan Province

  • Conference paper
  • First Online:
Machine Learning for Cyber Security (ML4CS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13656))

Included in the following conference series:

Abstract

Bipolar objects are widespread in nature, and they describe the opposition and unity of the things. Inspired by decision making characterizing in terms of fuzzy graph structures, we propose a bipolar fuzzy graph-based case study on mountain road traffic accident analysis in Yunnan province. The bipolar membership functions on corresponding bipolar graph are proposed and a novel algorithm for mountain road traffic accident in specific area is given. We analyze the result and give a reasonable explanation for this phenomenon. Some suggestions for reducing the number of mountain traffic accident are proposed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Sitara, M., Akram, M., Riaz, M.: Decision-making analysis based on q-rung picture fuzzy graph structures. J. Appl. Math. Comput. 67, 541–577 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  2. Jia, J., Rehman, A.U., Hussain, M., Mu, D., Siddiqui, M.K., Cheema, I.: Consensus-based multi-person decisionmaking using consistency fuzzy preference graphs. IEEE Access 7, 178870–178878 (2019)

    Article  Google Scholar 

  3. Karaaslan, F.: Hesitant fuzzy graphs and their applications in decision making. J. Intell. Fuzzy Syst. 36(3), 2729–2741 (2019)

    Article  Google Scholar 

  4. Akram, M., Habib, A., Davvaz, B.: Direct sum of n pythagorean fuzzy graphs with application to group decision-making. J. Mult. Valued Log. Soft Comput. 33(1–2), 75–115 (2019)

    MathSciNet  MATH  Google Scholar 

  5. Akram, M., Feng, F., Saeid, A.B., Leoreanu-Fotea, V.: A new multiple criteria decision-making method based on bipolar fuzzy soft graphs. Iranian J. Fuzzy Syst. 15(4), 73–92 (2018)

    MathSciNet  MATH  Google Scholar 

  6. Akram, M., Waseem, N.: Novel applications of bipolar fuzzy graphs to decision making problems. J. Appl. Math. Comput. 56(1–2), 73–91 (2016). https://doi.org/10.1007/s12190-016-1062-3

    Article  MathSciNet  MATH  Google Scholar 

  7. Gao, W., Wang, W., Chen, Y.: Tight bounds for the existence of path factors in network vulnerability parameter settings. Int. J. Intell. Syst. 36(3), 1133–1158 (2021)

    Article  Google Scholar 

  8. Gao, W., Chen, Y., Wang, Y.: Network vulnerability parameter and results on two surfaces. Int. J. Intell. Syst. 36(8), 4392–4414 (2021)

    Article  Google Scholar 

Download references

Acknowledgements

This work is supported by 2021 Guangdong Basic and Applied Basic Youth Fund Project (No. 2021A1515110834), 2023 Natural Science Fund Project of Guangdong basic and applied basic research foundation, Guangdong University of Science and Technology University Major Scientific Research Achievement Cultivation Program Project 2020 (No. GKY-2020CQPY-2), Characteristic Innovation Project of Universities in Guangdong Province in 2022, and Guangdong Provincial Department of Education Project (No. 2020KTSCX166).

Author information

Authors and Affiliations

  1. Department of Computer Science, Guangdong University Science and Technology, Dongguan, 523083, China

    Shu Gong

  2. School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, 221116, China

    Shu Gong & Gang Hua

Authors
  1. Shu Gong
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gang Hua
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Shu Gong .

Editor information

Editors and Affiliations

  1. School of Computing and Informatics, University of Louisiana at Lafayette, Lafayette, IN, USA

    Yuan Xu

  2. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

    Hongyang Yan

  3. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

    Huang Teng

  4. Guangdong Polytechnic Normal University, Guangzhou, China

    Jun Cai

  5. Institute of Artificial Intelligence and Blockchain, Guangzhou University, Guangzhou, China

    Jin Li

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gong, S., Hua, G. (2023). Decision Making Analysis of Traffic Accidents on Mountain Roads in Yunnan Province. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13656. Springer, Cham. https://doi.org/10.1007/978-3-031-20099-1_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-20099-1_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20098-4

  • Online ISBN: 978-3-031-20099-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation