A knowledge-based expert system for EIA using blackboard approach

• Main Authors: Jazzar, Moneef Mohammad Abdel-Kareem, Daud, Mohamed, Bardaie, Mohd Zohadie, Ramli, Abd Rahman, Said, Salim
• Format: Article
• Language: English
• Published: Faculty of Computer Science and Information Technology, University of Malaya 1998
• Online Access: http://psasir.upm.edu.my/id/eprint/49448/1/A%20knowledge-based%20expert%20system%20for%20EIA%20using%20blackboard%20approach.pdf; http://psasir.upm.edu.my/id/eprint/49448/; http://e-journal.um.edu.my/publish/MJCS/134-149

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.