Malaysian Journal of Computer Science (ISSN 0127-9084)
Indexing Page
Visit the official web site at http://ejum.fsktm.um.edu.my

Article Information
Title:A Knowledge-Based Expert System For EIA Using Blackboard Approach
Auhtor(s): Moneef Mohammad Jazzar ,Mohamed Daud ,Mohd Zohadie Bardaie ,Abd Rahman Ramli,Salim Said ,
Journal:Malaysian Journal of Computer Science (ISSN 0127-9084)
Volume:11, No 2
Year:1998
Keywords:Expert systems, EIA, Blackboard architecture, CLIPS, Knowledge engineering, Problem-solving
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 expertís 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.
File:Download

Volume Listing