选择合作创新是企业实现战略目标及获得技术突破的最优博弈发展策略。合作创新伙伴的评价与选择是企业开展合作创新的首要环节，在一定程度上决定了合作创新的效率和效果。为了科学有效且简单地实现合作创新伙伴的选择，本文将微粒群算法和改进的TOPSIS方法相结合，提出了一种新的有限方案多属性决策方法—基于微粒群算法定权的改进TOPSIS法。通过以与最优和最劣对象距离之和最小为准则，建立一个关于权重的非线性规划问题，给出其数学规划模型，运用微粒群算法求解指标的权重；为克服传统TOPSIS法的不足，基于集对分析联系度的思想，将理想点与负理想点视为确定不确定系统中相互对立的集合，在考察备选方案与理想点或负理想点的联系度时，充分考虑了对立集合的存在，构建了基于联系度的改进TOPSIS法合作创新伙伴的选择综合评价模型；并将其应用于H汽车集团汽车新技术合作创新伙伴选择的实证分析中，验证其科学性和有效性。

Selecting cooperative innovation is the optimum game development strategy, with which an enterprise realize its strategic objectives and obtains the technological breakthrough. Cooperative partner's assessment and selection is the primary link, it decides the efficiency and effect of cooperative innovation to a certain extent. In order to be scientifically effective and easy to realize the choice of the cooperative innovation partner, this paper combines PSO and ameliorated TOPSIS Methodtogether and proposes a new method for solving multiple attribute decision limited scheme -based on PSO fixed weight and ameliorated TOPSIS method. To establish a nonlinear programming problem about weight, according to the index weight of TOPSIS method, through the optimal and with the index for standard minimum sum object distance,present its mathematical programming model, and use PSO to determine the weight of the index; on this basis, in order to overcome the shortage of the traditional TOPSIS method, based on set pair analysis relative degree, set the ideal point and negative ideal point as set of oppositionabout certain and uncertain system, in examining the relative degree of alternatives and ideal point or negative ideal point, fully considering the existence of the opposite set,establishes comprehensive evaluation model of ameliorated TOPSIS method based on relative degrees, and applies it in the empirical analysis on the selection of the new technology innovative cooperation partner for H automobile group, and verifies the rationality and validity of the method.