[Objective] The coordination state formed by the coupling and interaction of various elements of the life community of mountains-rivers-forests-farmlands-lakes is the key mechanism to support the ecosystem service function. Scientific measurement of its coupling and coordination degree is of great significance for optimizing ecological governance decision-making and promoting sustainable development. [ Methods ] The existing research mostly relies on the linear weighted average method, ignoring the asymmetric coupling relationship of factors within the system and the system multiplication effect. It is difficult to reveal the comprehensive impact of multi-factor coupling on ecosystem service functions, and it may also misjudge the bottleneck of ecological governance. In this paper, the hesitant fuzzy set is used to represent the expert opinion, and the FPPSIM facet aggregation is used to reveal the system function multiplication effect, and the hesitant fuzzy weighted full permutation polygon graphic method ( HF-WFPPSIM ) is proposed. This method can effectively reflect the nonlinear influence of the interaction of ecological elements on the overall function of the system, innovatively empower the interaction between elements, and depict the asymmetric coupling effect between mountains, rivers, forests, fields and lakes. Finally, it is used to quantify the coupling coordination degree of the life community of mountains, rivers, forests, fields and lakes in Dianchi Lake Basin from 2016 to 2024. [ Conclusion ] The results show that the method is effective and reliable. At the same time, it is found that the field-lake coupling is the short board of system coordination, and the synergy between the two needs to be further strengthened in future governance.