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Rough Sets Theory Approch to Extenics Risk Assessment Model in Social Risk

  • Guangyao Gu
  • Yaodong Le
  • Fajie Wei
  • Chen Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8866)

Abstract

Social risks in large-scale projects are ranked according to the results of risk assessment, and the order helps assign the resource priority for the high risk events. The common method of risk evaluation is mostly based on probability and consequences of risk events, but ignores the management properties of them. This paper combines rough sets theory and extenics theory, and then builds the extenics risk assessment model based on rough sets theory. This model eliminates some valueless indicators and evaluates their weights using the rough sets theory and calculates the risk grades by extenics evaluation. In the last part, this paper analyzes an airport construction project to prove the practicality and effectiveness of the model.

Keywords

Risk assessment model Rough sets theory Extenics Social risk 

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References

  1. 1.
    Ulrich, B., Joost, V.L.: The risk society and beyond: critical issues for social theory. Sage (2000)Google Scholar
  2. 2.
    Holzmann, R., Jørgensen, S.: Social Risk Management: A new conceptual framework for Social Protection, and beyond. International Tax and Public Finance 8(4), 529–556 (2001)CrossRefGoogle Scholar
  3. 3.
    Li, S.M.: A Summarize on the Project Risk Sequencing. Sci./Tech. Information Development & Economy 1, 158–160 (2006)Google Scholar
  4. 4.
    Haimes, Y.Y.: Risk modeling, assessment, and management, vol. 40. John Wiley & Sons (2005)Google Scholar
  5. 5.
    Ward, S.C.: Assessing and managing important risks. International Journal of Project Management 17(6), 331–336 (1999)CrossRefGoogle Scholar
  6. 6.
    Cai, W.: Extension theory and its application. Chinese Science Bulletin 44(17), 1538–1548 (1999)CrossRefzbMATHMathSciNetGoogle Scholar
  7. 7.
    Baccarini, D., Richard, A.: The risk ranking of projects: a methodology. International Journal of Project Management 19(3), 139–145 (2001)CrossRefGoogle Scholar
  8. 8.
    Pawlak, Z.: Rough sets. International Journal of Computer & Information Sciences 11(5), 341–356 (1982)CrossRefzbMATHMathSciNetGoogle Scholar
  9. 9.
    Ayyub, B.M.: Risk analysis in engineering and economics. CRC Press (2014)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.School of Economics and ManagementBeihang UniversityBeijingChina

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