Chung-Jen Fu

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This paper presents a financial distress prediction model that combines the approaches of neural network learning and logit analysis. This combination can retain the advantages and avoid the disadvantages of the two kinds of approaches in solving such a problem. The radial basis function network (RBFN) is adopted to construct the prediction model. The(More)
Method of balanced scorecard (BSC) may well be one of the most popular strategy management and performance management systems, but BSC can only really success if it is appropriately linked to the employees' intrinsic and extrinsic incentives. In this research, two central issues include motivation and effect on long-term firm value comes into focus in the(More)
Equity valuation by fundamental analysis is modeled by a neuro-fuzzy approach in this paper. This neuro-fuzzy approach is a combination of a fuzzy inference system and a neural network. The fuzzy inference system enables the analyst to qualitatively describe his/her assessment of the influential factors in equity valuation. The neural learning can identify(More)
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