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University-industry cross-organizational knowledge integration are emerging in China, and the industrial technology research institute is one of the typical knowledge integration organization. In order to effectively break through the barriers between the different innovation subjects and to form an effective connection channel among basic research, application research and development and promotion...
The combined influences of the attributes are very crucial for the evaluation results in decision-making. In order to deal with the problem multi-attributes should be simultaneously considered, the thought of grey clustering is exploited to establish a novel grey clustering group decision-making model based on combination of attributes, and then it is applied into the regional types of the regional...
Grey DEA model is a non-deterministic efficiency measurement model on basis of the concept of relative efficiency used to evaluate and make decision-making with uncertain information. In view of this, grey DEA model is used to make performance evaluation on university S&T intermediary agencies according to the index data from other researches, and then some insightful results are discussed.
In this paper the relationship between university R&D input and output of scientific and technological achievements in China is analyzed systematically. By analyzing the present situation of university R&D activities in China, the outputs of scientific and technological achievement are divided into two categories: intermediate outputs and final outputs. Using grey relational analysis method,...
The evaluation on suppliers classification of the large civil aircraft is a complex uncertain decision making problem containing a variety of uncertainties such as randomness, fuzziness, and greyness, etc. This kind of problems is needed to be analyzed and solved effectively, while soft computing tools such as grey system can be useful. In view of this, we construct the CIR model from three-dimension...
An extension of variable precision rough set model is proposed based on dominance relation instead of indiscernibility relation, which can deal with possible inconsistency from decision tables with preference attributes, and obtain probabilistic decision rules made up of preference actions. Applying these rules, a preference model from example decision systems is inferred. Research results demonstrate...
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