Knowledge based decision support system for building refurbishment
Artūras Kaklauskas, Andrius Gulbinas
Technological and Economic Development of Economy · 2005
doi:10.3846/13928619.2005.9637696 (opens in a new tab)
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Abstract
The need to effectively integrate decision‐making tasks (such as interactive access to data and support for numerical and quantitative modelling techniques) together with the knowledge representation and visualisation tasks and inference procedures that model an expert's thought process has provoked research efforts to integrate decision support systems (DSS) with knowledge and expert systems (ES), neural networks and multimedia towards the formulation of intelligent DSS. We can analyse the intelligent DSS as a network of distributed systems (DSS, ES, neural networks, etc.) each of them facing and solving a specific problem. Under this point of view different systems can be integrated in the integrated system. Knowledge based decision support system for building refurbishment developed in Vilnius Gediminas Technical University is described in the paper in order to describe the above systems integration.
Abstract licence: CC BY
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