A Knowledge-Based Expert System For EIA Using Blackboard Approach

Authors

  • Moneef Mohammad Jazzar Faculty of Engineering, Universiti Putra Malaysia
  • Mohamed Daud Faculty of Engineering, Universiti Putra Malaysia
  • Mohd Zohadie Bardaie Faculty of Engineering, Universiti Putra Malaysia
  • Abd Rahman Ramli Faculty of Engineering, Universiti Putra Malaysia
  • Salim Said Faculty of Engineering, Universiti Putra Malaysia

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 decisionmaking 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.

Downloads

Download data is not yet available.

Downloads

Published

1998-12-31

How to Cite

Mohammad Jazzar, M., Daud, M., Bardaie, M. Z., Ramli, A. R., & Said, S. (1998). A Knowledge-Based Expert System For EIA Using Blackboard Approach. Malaysian Journal of Computer Science, 11(2), 15–22. Retrieved from https://jrmg.um.edu.my/index.php/MJCS/article/view/5729