Skip to main content
SpringerLink
Log in

A Fuzzy Decision Making Method for Preventing the Loss of Knowledge in Nuclear Organizations

  • Conference paper
  • First Online:
Advances in Safety Management and Human Performance (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1204))

Included in the following conference series:

  • 807 Accesses

Abstract

Appropriate technical expertise and experience, along with a strong safety culture, must be developed and kept available throughout the nuclear technology life cycle. For organizations using nuclear technology, the ability to take safe decisions and actions can be affected by knowledge gaps or knowledge loss. For preventing the loss of knowledge in nuclear organizations, it is important to identify the barriers or critical factors that affect the success of the knowledge management (KM) process. From the perspective of the nuclear organizations, no systematic structure exists on characterizing a set of critical success factors (CSFs) for KM. Furthermore, there are no appropriate models that can satisfactorily assess the CSFs and fully solve the subjectivity of KM assessment. In this context, this work presents a fuzzy decision making method for preventing the loss of knowledge in nuclear organizations using CSFs able to identify the barriers that affect the KM.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

References

  1. IAEA, Nuclear Energy Series NG-T-6.11: Knowledge loss risk management in nuclear organizations, International Atomic Energy Agency, Vienna (2007)

    Google Scholar 

  2. Wong, K.Y.: Critical success factors for implementing knowledge management in small and medium enterprises. Ind. Manag. Data Syst. 105(3), 261–279 (2005)

    Article  MathSciNet  Google Scholar 

  3. Zadeh, L.A.: Fuzzy logic - computing with words. IEEE Trans. Fuzzy Syst. 4, 103–111 (1996)

    Article  Google Scholar 

  4. Takeuchi, H., Nonaka, I.: Gestão do Conhecimento, 1st edn. Porto Alegre, Brasil (2008)

    Google Scholar 

  5. Terra, J.A.: Gestão do Conhecimento: O Grande Desafio Empresarial, 5th edn. Rio de Janeiro, Brasil (2005)

    Google Scholar 

  6. Wang, J., Peters, H.P., Guan, J.: Factors influencing knowledge productivity in German research groups: lessons for developing countries. J. Knowl. Manag. 10(4), 113–126 (2006)

    Article  Google Scholar 

  7. Figueiredo, S.: Gestão do Conhecimento – Estratégia Competitiva para a Criação e Mobilização do Conhecimento na Empresa, 4th edn. São Paulo, Brasil (2005)

    Google Scholar 

  8. Hsu, H.M., Chen, C.T.: Aggregation of fuzzy opinions under group decision making. Fuzzy Sets Syst. 79, 279–285 (1996)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Instituto de Engenharia Nuclear, Comissão Nacional de Energia Nuclear, Rio de Janeiro, Brazil

    Jaqueline Vianna, Paulo V. R. Carvalho & Claudio H. S. Grecco

  2. Laboratório de Lógica e Matemática Fuzzy (LabFuzzy), COPPE/UFRJ, Rio de Janeiro, Brazil

    Jaqueline Vianna, Paulo V. R. Carvalho, Carlos A. N. Cosenza & Claudio H. S. Grecco

Authors
  1. Jaqueline Vianna
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Paulo V. R. Carvalho
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Carlos A. N. Cosenza
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Claudio H. S. Grecco
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Claudio H. S. Grecco .

Editor information

Editors and Affiliations

  1. DPS, School of Engineering, University of Minho, Guimaraes, Portugal

    Pedro M. Arezes

  2. Idaho National Laboratory, Idaho Falls, ID, USA

    Ronald L. Boring

Rights and permissions

Reprints and permissions

Copyright information

© 2020 The Editor(s) (if applicable) and 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

Vianna, J., Carvalho, P.V.R., Cosenza, C.A.N., Grecco, C.H.S. (2020). A Fuzzy Decision Making Method for Preventing the Loss of Knowledge in Nuclear Organizations. In: Arezes, P., Boring, R. (eds) Advances in Safety Management and Human Performance. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1204. Springer, Cham. https://doi.org/10.1007/978-3-030-50946-0_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-50946-0_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-50945-3

  • Online ISBN: 978-3-030-50946-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation