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Title: Examining the development of an expert system for reliability data analysis with object oriented principles
Author: Al-Doori, Mulhim
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1996
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The work reported in this thesis aims to explore the possibility of designing and building an expert system for statistical analysis. In particular it focuses on Reliability Data Analysis. Expert systems are Artificial Intelligence systems based on Advanced Information Technology which incorporate knowledge-based systems. They require high level problem solving strategies used by experts in consultation. Several approaches to the building of an expert system are considered. The final choice selected was based on considerations concerning the knowledge domain and reasoning processes and was based on Object-Oriented principles. A Prototype was implemented in APL2. As a background to the development of an Expert System for Reliability Data Analysis it reviews statistical expert systems including KENS and GLIMPSE. Given the desire to build a system on Object-Oriented principles a brief introduction to this field is given highlighting the major features, including examination of languages such as SMALLTALK, C++ and APL2. An evaluation of different design approaches is made. This is followed by a description of the system ARDA, APL2 Reliability Data Analysis. This description include steps in the construction, structure, concepts and facilities. The final chapter of the thesis describes suggestions for further work.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available