The development of a decision model for liquidity analysis
We present a scheme for building a decision model for analyzing the quality of short-term liquidity from domain experts. This scheme combines the model building features of both process tracing approach and output analysis approach. The process tracing component applies the Concurrent Verbal Protocol Analysis to build a decision model by tracing through verbalized decision procedures from domain experts. Its performance consistency is then verified by the application of Probability Neural Network as an output analysis method. The results of verification provide the basis for further refinement of the decision model. This scheme retains the explanation capability of the Protocol Analysis, and, at the same time, provides an opportunity for researchers to rectify some of the inherent problems associated with it.
verbal protocol analysis decision support probabilistic neural networks short-term liquidity analysis knowledge extraction