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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2451/14392
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| Title: | NEURAL NETWORKS FOR DECISION SUPPORT: PROBLEMS AND OPPORTUNITIES |
| Authors: | Schocken, Shirnon
Ariav, Gad |
| Keywords: | Decision Support Systems
Neural Networks
Applications |
| Issue Date: | Nov-1991 |
| Publisher: | Stern School of Business, New York University |
| Series/Report no.: | IS-91-35 |
| Abstract: | Neural networks offer an approach to computing which - unlike
conventional programming - does not necessitate a complete algorithmic
specification. Furthermore, neural networks provide inductive means for
gathering, storing, and using, experiential knowledge. Incidentally,
these have also been some of the fundamental motivations for the
development of decision support systems in general. Thus, the interest
in neural networks for decision support is immediate and obvious. In
this paper, we analyze the potential contribution of neural networks for
decision support, on one hand, and point out at some inherent
constraints that might inhibit their use, on the other. For the sake of
completeness and organization, the analysis is carried out in the
context of a general-purpose DSS framework that examines all the key
factors that come into play in the design of any decision support system. |
| URI: | http://hdl.handle.net/2451/14392 |
| Appears in Collections: | IOMS: Information Systems Working Papers
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