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

  • Edmundas Zavadskas
  • Arturas Kaklauskas
  • Povilas Vainiunas
  • Ruta Dubakiene
  • Andrius Gulbinas
  • Mindaugas Krutinis
  • Petras Cyras
  • Liudas Rimkus
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4101)

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.

Keywords

Decision Support System Tacit Knowledge House Dust Mite Multivariant Design Multiple Criterion Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Edmundas Zavadskas
    • 1
  • Arturas Kaklauskas
    • 1
  • Povilas Vainiunas
    • 1
  • Ruta Dubakiene
    • 1
  • Andrius Gulbinas
    • 1
  • Mindaugas Krutinis
    • 1
  • Petras Cyras
    • 1
  • Liudas Rimkus
    • 1
  1. 1.Vilnius Gediminas Technical UniversityVilniusLithuania

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