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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kempe, N. Horton, G. Buchholz, R. Gors, J. |
| Copyright Year | 2012 |
| Abstract | At the first gate of an innovation process, a large number of raw ideas must be evaluated and those good enough to continue to the next phase be selected. No information about these ideas is available, so they have a high level of uncertainty. We present an algorithm that selects and ranks a set of alternatives in optimal time. The algorithm addresses uncertainty by allowing decision-makers to specify missing information that affect the outcome of their judgments. It generates multiple partial rankings efficiently according to the various possible combinations of missing items of information and identifies the set of items that are needed to obtain a unique result. In this manner, we can reduce the uncertainty in the selection procedure and make explicit expert knowledge that is relevant to the evaluation process. The algorithm is intended for use in a collaborative tool for corporations who utilize a structured innovation process. |
| Starting Page | 237 |
| Ending Page | 246 |
| File Size | 438725 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781457719257 |
| ISSN | 15301605 |
| e-ISBN | 9780769545257 |
| DOI | 10.1109/HICSS.2012.110 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-01-04 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Technological innovation Delta modulation Sorting Complexity theory Decision making Computer science Decision-making Front End of Innovation Selection Ranking |
| Content Type | Text |
| Resource Type | Article |
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