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In this paper, we provide a model for designing buyers that can learn to identify trustworthy friends that are honest and share similar opinions in a decentralised electronic market. The buyer rates a seller after having purchased goods from it. It also evaluates friends who provide seller...
This paper presents a model to support the banking managerial decisions in the evaluation of investment plans, especially on rejecting inappropriate plans that can be done in short time (less than hour) and with minimal cost. Because there are some uncertainties in the evaluation process, our...
This paper presents various non-linear principal component analysis (NLPCA)-based two-phase hybrid classifiers for predicting bankruptcy in banks. The first phase of the hybrids performs dimensionality reduction using NLPCA, which is implemented as a threshold accepting trained auto associative...
In order to implement a multi-category classification system, an efficient rule set is imperative for its investigation. In this paper, such a system is being introduced. In the first phase of its kind, the C4.5 rule induction algorithm is adopted to obtain useful rule set from classification...
A fundamental principle of modern portfolio theory is that portfolio selection decisions are generally made using two criteria, corresponding to the first two moments of return distributions, namely the expected return and portfolio variance. One criticism over this theory, which has often been...
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