摘要

The patent pool partner selection is an important multi-attribute decision-making (MADM) problem, and especially that based on intuitionistic fuzzy (IF) is becoming an extremely active research field. The aim of this article is to present a new method for patent pool partner selection with no weight information in IF based on bidirectional projection (BP). In the proposed model, we substitute BP for traditional one-way projection, and develop a new ranking alternatives rule on the basis of close degree;we construct a non-linear programming model combing the BP with intuitionistic fuzzy entropy (IFE) to determine the attribute weights, and obtain the optimum alternative;an example analysis is given to illustrate the rationality and scientificity of the proposed method;Finally, we conclude with recommendations for future work.

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