Expert systems divide neatly into two categories: those in which ( 1) the expert decisions result in changes to some external environment (control systems), and (2) the expert decisions merely seek to describe the environment (classification systems). Both the explanation of computer-based reasoning and the "bottleneck" (Feigenbaum, 1979) of knowledge acquisition are major issues in expert syst...

This paper describes a methodology for the automatic construction of diagnostic expert systems, and its application for fault diagnosis of a satellite’s electrical power subsystem. The synthesised knowledge base is compared with an existing expert system for the same application built using a commercial expert system shell. Both systems have been tested using a real-time satellite simulator whi...

A majority of efforts in terms of technology commercialization have failed; however, the issue of commercialization and its high importance are agreed upon by policymakers, entrepreneurs, and researchers. This shows the high complexity of the commercialization process. One of the main solutions to overcome the commercialization problems is to predict the success of technology commercialization ...

This paper outlines work done by the authors in developing a production management expert system in TIRS, The Integrated Reasoning Shell. The expert system addresses the complex nature of decision making in production planning and scheduling. The decision making process is structured in a hierarchical form. Much of the knowledge encoded relates to modern thinking with regard to production vis-à...

We describe a computer program that implements an algorithm to verify the consistency and completeness of knowledge bases built for the Lockheed expert system (LES) shell. The algorithms described here are not specific to this particular shell and can be applied to many rule-based systems. The computer program, which we call CHECK, combines logical principles as well as specific information abo...

the selection of erp systems has been considered as one of the most influential and risky managerial decisions due to its heavy burden of purchase and implementation costs. the purpose of this paper is designing a fuzzy expert system for selecting the appropriate erp system based on the internationally selected and validated criteria for minimizing the risks of inappropriate selection. if an op...