Development of a short-term liquidity decision model via protocol analysis and probabilistic neural networks

Sheng Tun Li, Li Yen Shue, Weissor Shiue

研究成果: Conference contribution

摘要

A scheme for building a decision model of short-term liquidity analysis from domain experts is presented, which combines the features of both process tracing approach and output analysis approach. The scheme consists of process tracing, output analysis, and model review component. The process tracing component applies the Concurrent Verbal Protocol Analysis to build an initial decision model by tracing through decision procedures from domain experts. The output analysis component applies Probability Neural Network to build a decision model based on the predictions of the initial model. The model review component investigates the cases where the predictions of the two models differ, and feeds the findings back to the process tracing component for further improvement. 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.

原文English
主出版物標題Proceedings of the Hawaii International Conference on System Sciences
發行者IEEE
頁數1
ISBN(列印)0769504930
出版狀態Published - 2000 一月 1
事件The 33rd Annual Hawaii International Conference on System Siences (HICSS-33) - Maui, USA
持續時間: 2000 一月 42000 一月 7

出版系列

名字Proceedings of the Hawaii International Conference on System Sciences
ISSN(列印)1060-3425

Other

OtherThe 33rd Annual Hawaii International Conference on System Siences (HICSS-33)
城市Maui, USA
期間00-01-0400-01-07

    指紋

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

引用此

Li, S. T., Shue, L. Y., & Shiue, W. (2000). Development of a short-term liquidity decision model via protocol analysis and probabilistic neural networks. 於 Proceedings of the Hawaii International Conference on System Sciences (Proceedings of the Hawaii International Conference on System Sciences). IEEE.