Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Hawaii International Conference on System Sciences |
| Publisher | IEEE |
| Number of pages | 1 |
| ISBN (Print) | 0769504930 |
| Publication status | Published - 2000 Jan 1 |
| Event | The 33rd Annual Hawaii International Conference on System Siences (HICSS-33) - Maui, USA Duration: 2000 Jan 4 → 2000 Jan 7 |
Publication series
| Name | Proceedings of the Hawaii International Conference on System Sciences |
|---|---|
| ISSN (Print) | 1060-3425 |
Other
| Other | The 33rd Annual Hawaii International Conference on System Siences (HICSS-33) |
|---|---|
| City | Maui, USA |
| Period | 00-01-04 → 00-01-07 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
Cite this
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Development of a short-term liquidity decision model via protocol analysis and probabilistic neural networks. / Li, Sheng Tun; Shue, Li Yen; Shiue, Weissor.
Proceedings of the Hawaii International Conference on System Sciences. IEEE, 2000. (Proceedings of the Hawaii International Conference on System Sciences).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Development of a short-term liquidity decision model via protocol analysis and probabilistic neural networks
AU - Li, Sheng Tun
AU - Shue, Li Yen
AU - Shiue, Weissor
PY - 2000/1/1
Y1 - 2000/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0033878104&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033878104&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0033878104
SN - 0769504930
T3 - Proceedings of the Hawaii International Conference on System Sciences
BT - Proceedings of the Hawaii International Conference on System Sciences
PB - IEEE
ER -