Skip to main content

Fuzzy-AI Model for Quantitative Project Management

  • Chapter
  • First Online:
Fuzzy-AI Model and Big Data Exploration
  • 252 Accesses

Abstract

This chapter distinguishes the natures of so-called qualitative (empirical) versus quantitative (digital) management and presents the possibility and necessity of adopting quantitative project management in many real-world problems.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Lin, S. (2008). Fuzzy-AI model for managerial science, keynote plenary speech of the 3rd PMI world research conference, July 13–15, 2008 in Warsaw, Poland.

    Google Scholar 

  2. Xu, F., & Lin, S. (2016) Theoretical framework of fuzzy-AI model in quantitative project management. Journal of Intelligent & Fuzzy Systems, 30, 509–521.

    Google Scholar 

  3. PMI (2017). A guide to the project management body of knowledge (6th ed.). PMI Press.

    Google Scholar 

  4. Lin, S. (2005). On paradox of fuzzy ai modeling: supervised learning for rectifying fuzzy membership functions. Journal of Artificial Intelligence Review, 23, 395–405.

    Google Scholar 

  5. Hu, H., & Chan, W.-T. (2009). A hybrid GA-CP approach for production scheduling, to be appeared in the 6th international conference on fuzzy systems and knowledge discovery (FSKD’09), August, 2009, Tianjin, China.

    Google Scholar 

  6. 2009) Lin, S., Hong, Z., Hao, H., & Jun, Y. (2009). The fuzzy-AI modeling for optimization of long-term metro vehicle repair. In The 6 th international conference on fuzzy systems and knowledge discovery (FSKD’09), August, 2009, Tianjin, China.

    Google Scholar 

  7. PMI (2003). PMI global standard—Organizational project management maturity model OPM3 knowledge foundation.

    Google Scholar 

  8. Lin, S. (1998). Fuzzy modeling of investment decision in engineering project, uncertainty modeling and analysis in civil engineering (pp. 167–188). USA: CRC Press.

    Google Scholar 

  9. Zadeh, L. A., Fu, K. S. et al. (1975). Fuzzy sets and its application—cognitive and decision processes. New York: Academic Press.

    Google Scholar 

  10. Pinto, J. K. (2007). Project management; achieving competitive advantage. Pearson Education, Inc.

    Google Scholar 

  11. Kerzner, H. (2006). Project management best practices, achieving global excellence. John Wiley & Sons, Inc.

    Google Scholar 

  12. Song, J., & Lin, S. (2007). Research on the method of employee appraisal based on competency model, by job family. Journal of Industrial Engineering and Management (Supplementary Issue). (in Chinese).

    Google Scholar 

  13. Lin, S., & Huang, Z. (2016). Comparative design of structures. Springer & SJTU Press. ISBN 978-3-662-48044-1.

    Google Scholar 

  14. Hongy, C., & Lin, S. (1995). Studies of intelligent decision supporting system for real estate. In Proceeding of 6th national conference on computer applications in civi engineering, pp. 43–50. (in Chinese).

    Google Scholar 

  15. Hong, Z., Jun, Y., & Lin, C. (2009). The vehicle distress representation by fuzzy-AI-RCM modeling, to be appeared in the 6th international conference on fuzzy systems and knowledge discovery (FSKD’09), August, 2009, Tianjin, China.

    Google Scholar 

  16. Lin, S. et al. (1991). A conceptual approach of fuzzy decision for systems by “deep knowledge” and “deep data. In Proceedings of 2nd international conference on the applications of AI technology in civil and structural engineering, U.K.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shaopei Lin .

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Shanghai Jiao Tong University Press and Springer-Verlag GmbH Germany

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Lin, S. (2022). Fuzzy-AI Model for Quantitative Project Management. In: Fuzzy-AI Model and Big Data Exploration. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56339-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-56339-7_12

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-56337-3

  • Online ISBN: 978-3-662-56339-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics