Skip to main content

A Building’s Refurbishment Knowledge and Device Based Decision Support System

  • Conference paper
Cooperative Design, Visualization, and Engineering (CDVE 2006)

Abstract

The integration of knowledge-based, devices-based and decision support systems have a very promising future in scientific research. The authors of this paper participated in the project Framework 6, ‘Bringing Retrofit Innovation to the Application of Public Buildings’ (BRITA in PuBs). One of the project’s goals was to develop a Building’s Refurbishment Knowledge and Device Based Decision Support System (BR-KDDSS), which consists of a Decision Support Subsystem, Knowledge Subsystem and Device Subsystem. In order to demonstrate the integration of knowledge, device and decision support systems, the BR-KDDSS will be considered as an example.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ambrasas, G., Kaklauskas, A., Zavadskas, E.K.: Demonstration system for development of efficient projects. Statyba (Journal of Civil Engineering and Management) 2(4), 84–100 (1996)

    Google Scholar 

  2. Caccavelli, D., Genre, J.L.: Diagnosis of the degradation state of building and cost evaluation of induced refurbishment works. Energy and Buildings 31(2), 159–165 (2000)

    Article  Google Scholar 

  3. Chow, T.T., Zhang, G.Q., Lin, Z., Song, C.L.: Global optimization of absorption chiller system by genetic algorithm and neural network. Energy and Buildings 34(1), 103–109 (2002)

    Article  Google Scholar 

  4. Dorer, V., Weber, A.: Air, contaminant and heat transport models: integration and application. Energy and Buildings 30(1), 97–104 (1999)

    Article  Google Scholar 

  5. Genre, J.L., Flourentzos, F., Stockli, T.: Building refurbishment: habitat upgrading. Energy and Buildings 31(2), 155–157 (2000)

    Article  Google Scholar 

  6. Kaklauskas, A., Zavadskas, E.K., Raslanas, S.: Multivariant design and multiple criteria analysis of building refurbishments. Energy and Buildings 37(4), 361–372 (2005)

    Article  Google Scholar 

  7. Kolokotsa, D., Tsiavos, D., Stavrakakis, G.S., Kalaitzakis, K., Antonidakis, E.: Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal–visual comfort and indoor air quality satisfaction. Energy and Buildings 33(6), 531–543 (2001)

    Article  Google Scholar 

  8. Kusuda, T.: Building environment simulation before desk top computers in the USA through a personal memory. Energy and Buildings 33(4), 291–302 (2001)

    Article  Google Scholar 

  9. Mazouz, S., Zerouala, M.S.: The integration of environmental variables in the process of architectural design. The contribution of knowledge systems. Energy and Buildings 33(7), 699–710 (2001)

    Article  Google Scholar 

  10. Trinkūnas, V., Kaklauskas, A., Zavadskas, E.K.: Selection of rational construction products regarding building refurbishments. Property Management (International Journal of Strategic Property Management) 6(2), 74–82 (2002)

    Google Scholar 

  11. Zavadskas, E.K., Kaklauskas, A., Turskis, Z.: Multicriteria decision-making system for building refurbishment. Statyba (Journal of Civil Engineering and Management) 3(4), 62–68 (1997)

    Google Scholar 

  12. Zavadskas, E.K., Kaklauskas, A., Raslanas, S.: Evaluation of investments into housing renovation. International Journal of Strategic Property Management 8(3), 177–190 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zavadskas, E. et al. (2006). A Building’s Refurbishment Knowledge and Device Based Decision Support System. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2006. Lecture Notes in Computer Science, vol 4101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11863649_35

Download citation

  • DOI: https://doi.org/10.1007/11863649_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44494-7

  • Online ISBN: 978-3-540-44496-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics