In this paper, the multi-granularity linguistic assessment of the two-sided bodies is expressed as triangular fuzzy number. This paper uses TOPSIS to calculate the relative similarity degree between comprehensive assessment and ideal assessment. The satisfaction degree of bodies is defined as the relative similarity degree. Considering the consistency of satisfaction degree, an optimization model is constructed to maximize the comprehensive degree of satisfaction. By solving this model, the matching results of the trade matching problem of buyers and sellers in electronic commerce can be obtained. Finally, a calculating example is given to illustrate the practicality and validity of the proposed method.%针对电子商务中买卖双方交易匹配问题，文章将主体给出的多粒度语言评价信息转化成三角模糊数形式，运用逼近理想解法计算主体综合评价与理想评价的相对贴近度，并以其表示匹配主体的满意度。构建综合考虑匹配主体满意度一致性和最大化的优化模型，求解该模型获得匹配结果。通过实例说明所提方法的可行性和有效性。
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