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The evidence theory provides an important reasoning mechanism in artificial intelligence, and it has been applied to complex systems to handle uncertainty reasoning. Using a set of easy-to-use interfaces, we have designed an desktop decision assistant system based on the evidence theory. Through the easy-to-use interfaces, expert knowledge and opinions or(More)
Experience shows that different text classification methods can give different results. We look here at a way of combining the results of two or more different classification methods using an evidential approach. The specific methods we have been experimenting with in our group include the support vector machine, kNN (nearest neighbors), kNN model-based(More)
The purpose of this study is to develop a decision making system to evaluate the risks in E-Commerce (EC) projects. Competitive software businesses have the critical task of assessing the risk in the software system development life cycle. This can be conducted on the basis of conventional probabilities , but limited appropriate information is available and(More)