Abstract
Matching the technology suppliers and demanders in the market is essential because such a matching facilitates the technology commercialization. Under the intuitionistic fuzzy environment, this paper proposes a novel two-stage matching method to match the technology suppliers and demanders by fully considering the characteristics of the real matching process. In the first stage, following the prospect theory and evidence theory, the satisfactions of the two parties with the attributes’ performances are calculated. These satisfactions are further used as the basis for the ranking of cooperation preferences. In the second stage, the price satisfaction under the influence of the cooperation preferences is considered, and the final matching pairs are obtained by maximizing the price satisfaction. We also conduct a numerical example to show the application of the novel two-stage method and compare its performance with the single-stage method The results show that the two-stage method can better identify both sides’ cooperation intentions and enhance their transaction satisfactions.
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