This paper identifies that a meaningful rule in a fuzzy expert systems (FES) depends to some degree on the number of rule antecedents connected to a rule consequent. The paper presents an alternative for scenarios where a larger number of rule antecedents applies to the same rule consequent. Results of an application of the method in the domain of coronary heart disease risk assessment (CHDRA) ...

Ranked nodes: A simple and effective way to model qualitative judgements in large-scale Bayesian Networks Norman Fenton and Martin Neil Risk Assessment and Decision Analysis Research Group Department of Computer Science, Queen Mary, University of London and Agena Ltd 21 Feb, 2005 Abstract Although Bayesian Nets (BNs) are increasingly being used to solve real world risk problems, their use is st...

  Background: Participation is mostly cultural and familial based, and there is not any assessment scales for evaluating kids’ participation in Iranian context, therefore the purpose of this study was developing children’s participation assessment scale for Iranian children.   Methods: Development of this scale occurred in two phases; phase I: planning: following r...

In this paper, a data-driven assessment model for information systems security risk management is proposed based on the knowledge from observed cases and domain experts. In the model, genetic algorithm is applied to search the rules of security risk identification based on historical data. For identifying the causal relationships of risk factors and predict the occurrence probability of securit...

Amgen is attempting to increase the impact that its products make in people's lives. To meet this goal, the company is aggressively working to reach more patients through growth opportunities in international markets and expects to significantly increase its existing footprint and product impact over the next several years. While the current market entry practices for emerging markets are meeti...

The objective of this project was to establish a conceptual design for a hybrid system architecture for risk analysis. The design encompasses modules for both simulation (for project risk analysis) and probabilistic risk assessment (regarding safety issues). The knowledge base incorporates heuristics to integrate and interpret the algorithmic results. By utilizing the information from the exper...

The gypsy moth is one of North America's most devastating exotic forest pests because it can cause the loss of valuable oak species, degraded aesthetics, loss of wildlife habitat, and detrimental effects on watersheds. Due to the increasingly wide infestation of the gypsy moth, it is important to develop decision aids that help assess the risks of this pest to our forests. Expert systems are a ...

As class sizes increase, methods of assessments shift from costly traditional approaches (e.g. expert-graded writing assignments) to more economic and logistically feasible methods (e.g. multiple-choice testing, computer-automated scoring, or peer assessment). While each method of assessment has its merits, it is peer assessment in particular, especially when made available online through a Web...

Characterizing the performance of image segmentation approaches has been a persistent challenge. Performance analysis is important since segmentation algorithms often have limited accuracy and precision. Interactive drawing of the desired segmentation by domain experts has often been the only acceptable approach, and yet suffers from intra-expert and inter-expert variability. Automated algorith...