Skip to the content

TheMD shell and its use to develop Dust-Expert(TM)

Vadera, S and Nechab, S 1995, 'TheMD shell and its use to develop Dust-Expert(TM)' , Expert Systems: The International Journal of Knowledge Engineering and Neural Networks, 12 (3) , pp. 231-237.

Full text not available from this repository. (Request a copy)

Abstract

In this paper we describe TheMD (The Methods Designer) shell and its use in the development of an expert system, known as Dust-Expert, for the relief of dust explosions. We begin by providing the motivation for the development of TheMD Shell by evaluating a prototype implementation of Dust-Expert using a conventional shell. This evaluation is carried out in terms of the transparency, reliability and extensibility of the system. The lessons learned from this evaluation have led to the development of TheMD Shell. We describe the main features of the shell which include more appropriate schemas, more complete explanation capabilities, a ranking scheme and equation-solving capabilities. We illustrate the use of the schemas and the importance of the equation-solving capabilities by examples from the domain of dust explosions. We also provide a formal specification of the ranking scheme that we adopt. We conclude by highlighting the benefits of our approach in comparison to the usual process of developing knowledge-based systems.

Item Type: Article
Uncontrolled Keywords: Expert Systems, Dust Explosions, Health and Safety
Themes: Subjects / Themes > Q Science > QA Mathematics > QA075 Electronic computers. Computer science > QA076 Computer software
Subjects / Themes > T Technology > T Technology (General) > T175 Industrial research. Research and development
Subjects outside of the University Themes
Schools: Colleges and Schools > College of Science & Technology
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
Journal or Publication Title: Expert Systems: The International Journal of Knowledge Engineering and Neural Networks
Publisher: Blackwell Publishing
Refereed: Yes
ISSN: 1468-0394
Related URLs:
Funders: Health and Safety Executive
Depositing User: S Vadera
Date Deposited: 04 Oct 2010 15:04
Last Modified: 20 Aug 2013 17:27
URI: http://usir.salford.ac.uk/id/eprint/10359

Actions (login required)

Edit record (repository staff only)