The Network Diagnostic System (NDS) is an ARBY based expert system for fault isolation in a nationwide communications network (COMNET). Due to both the structure and function of the network, failures in COMNET are often multiple component failures (either dependent or independent) or intermittent failures. The maintenance procedure for isolating and correcting faults in COMNET exploits multiple...

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An important issue in the use of expert systems is the so-called brittleness problem. Expert systems model only a limited part of the world. While the explicit management of uncertainty in expert systems mitigates the brittleness problem, it is still possible for a system to be used, unwittingly, in ways that the system is not prepared to address. Such situation may be detected by the method of...

OBJECTIVE To determine whether expert problem-solving strategies can be identified within a large number of student performances of complex medical diagnostic simulations. METHODS Self-organizing artificial neural networks were trained to categorize the performances of infectious disease subspecialists on six computer-based clinical diagnostic simulation that used the sequence of diagnostic t...

This paper presents a web supported development tool specific for medical diagnosis, based on Bayesian networks. The proposed system provides a user-friendly interface, giving the users (experts in the medical domain) the possibility to design diagnostic applications without deep background knowledge on Bayesian networks theory. Efficient statistical inference mechanisms are implemented, taking...

One of the most important stages in the urban transportation planning procedure is predicting the rate of trips generated by each trac zone. Currently, multiple linear regression models are frequently used as a prediction tool. This method predicts the number of trips produced from, or attracted to each trac zone according to the values of independent variables for that zone. One of the main li...

This article describes a simple probabilistic diagnostic system for a fan-powered mixing box. Several types of electrical and damper failures are diagnosed. Empirical data is available for modeling the normal operation of the mixing box, but no empirical data is available for failure states and models of failure states must be constructed from expert knowledge. The distribution over operational...

insurance industry experts believe that fraud is a destructive disaster in the insurance industry. over the years, many methods have been used in the literature for fraud detection, one of which is expert systems. fraud detection expert systems are based on the knowledge of experts in the field of insurance identify fraud. judgment of experts is mostly based on evidence, documents, qualitative ...

knowledge management strategy is mentioned as one of the most important success factors for implementing knowledge management. the km strategy selection is a complex decision that requires consideration of several factors. for evaluation and selection of an appropriate knowledge management strategy in organizations, many factors must be considered. the identified factors and their impact on kno...

DEXSY2 is a dental expert system, which diagnoses oral diseases and offers a treatment course. The system which is designed and implemented from scratch is capable of diagnosing among thirty five oral diseases and offering a course of treatment for each. It uses a decision tree for its representation of knowledge, and each of its nodes contains a frame. The knowledge base of the system contains...