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A knowledge-based expert system for EIA using blackboard approach


Citation

Jazzar, Moneef Mohammad Abdel-Kareem and Daud, Mohamed and Bardaie, Mohd Zohadie and Ramli, Abd Rahman and Said, Salim (1998) A knowledge-based expert system for EIA using blackboard approach. Malaysian Journal of Computer Science, 11 (2). pp. 15-22. ISSN 0127-9084

Abstract

Expert systems and knowledge-based systems are widely used in engineering applications and in problem-solving. Rapid development today has brought with it environmental problems that cause loss or destruction of natural resources. Environmental impact assessment (EIA) has been acknowledged as a powerful planning and decision-making tool to assess new development projects. It requires qualified personnel with special expertise and responsibility in their domain. Knowledge-based EIA systems incorporate expert’s knowledge and act as a device-giving system. The development of an expert system to produce environmental impact assessment reports using an intelligent blackboard co-operative approach is presented. The system has an advantage over human experts and can significantly reduce the complexity of a planning task like EIA.


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Official URL or Download Paper: http://e-journal.um.edu.my/publish/MJCS/134-149

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Publisher: Faculty of Computer Science and Information Technology, University of Malaya
Keywords: Expert systems; EIA; Blackboard architecture; CLIPS; Knowledge engineering; Problem-solving
Depositing User: Nabilah Mustapa
Date Deposited: 30 Dec 2016 02:49
Last Modified: 30 Dec 2016 02:49
URI: http://psasir.upm.edu.my/id/eprint/49448
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