Abstract
Attributes of each candidate enterprise could be regarded as a classifier, and the partner selection could be transformed into a classification issue with incomplete and uncertain information. A decision-making model and a numerical approach of partner selection were proposed based on multiple classifier fusion rules. The new method could not only effectively resolve decision-making problem with incomplete, uncertain and subjective information, but also resolve the problem of dynamic partner selection. Case study showed that the new method was feasible, practical and superior.
Original language | English |
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Pages (from-to) | 1131-1136 |
Number of pages | 6 |
Journal | Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS |
Volume | 13 |
Issue number | 6 |
State | Published - Jun 2007 |
Keywords
- Decision-making
- Multiple classifier fusion
- Partner selection
- Supply chain