Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/996
Title: Prototype expert system for site selection of a sanitary landfill
Authors: Chau, KW 
Keywords: Artificial neural network
Blackboard architecture
Expert system
Fuzzy inference
Hazardous waste
Sanitary landfill
Site selection
Issue Date: Dec-2005
Publisher: Taylor & Francis
Source: Civil engineering and environmental systems, Dec. 2005, v. 22, no. 4, p. 205-215 How to cite?
Journal: Civil engineering and environmental systems 
Abstract: It is desirable to incorporate heuristic and empirical knowledge including hydrological and biogeochemical considerations into the selection process of a potential landfill site. In this article, a prototype expert system for the selection of a landfill site, with hybrid knowledge representation approach under object-oriented design environment in a blackboard architecture, is described. It incorporates an artificial neural network for training of partial hazardous scores and a fuzzy rule base for the representation of heuristic knowledge. The evaluation is based on the hazardous waste site ranking system recommended by the US Environmental Protection Agency, adapted to Hong Kong conditions by incorporating the stipulation of some local regulations. It is shown to be a useful aid in assisting novice engineers in the selection process of a potential landfill site during preliminary investigation.
URI: http://hdl.handle.net/10397/996
ISSN: 1028-6608 (print)
1029-0249 (online)
DOI: 10.1080/10286600500309928
Rights: © 2005 Taylor & Francis.
This is an electronic version of an article published in KW Chau (2005), Civil Engineering and Environmental Systems, 22(4), 205-215. Civil Engineering and Environmental Systems is available online at: http://www.informaworld.com, and the article at: http://www.informaworld.com/openurl?genre=article&issn=1028-6608&volume=22&issue=4&spage=205.
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