To optimize the service matching, rationally allocate medical resources and meet the personalized needs of different subjects in telemedicine, this paper proposes a telemedicine service matching method that considers the third-party preferences in the context of mixed decision-making, aiming at the problem of telemedicine service matching under the intervention of regional doctors. Firstly, the research problem is described and matching schemes are defined. Secondly, considering the uncertainty and fuzziness of decision makers' preference information, the degree of difference between evaluation and expectation information is calculated according to different forms of evaluation information. Moreover, two-sided satisfaction matrices are obtained based on the preference of regional doctors. After that, considering the rational, stable and satisfactory matching constraints of the matching scheme, a multi-objective optimization model is established to maximize the satisfaction of the supplier and the demander, and to minimize the difference between experts and patients. Finally, the feasibility of this method is demonstrated by an illustrative example, which provides a new optimization direction for the effective multi-agent cooperation in telemedicine.