A reliable decision-making method is of great importance for the designing of a practical and efficient organic Rankine cycle (ORC) system employed to exploit geothermal energy. This paper develops a three-level non-structural fuzzy decision algorithm for the comprehensive evaluation of a geo-fluid driven trans-critical ORC (TORC) system on the basis of a progressive system performance hierarchy, involving environmental characteristics, safety, thermodynamic and techno-economic performance. Two representative geothermal reservoirs with medium (GR-I) and high (GR-II) temperature are investigated to realize and validate the proposed method. Four mathematical models and six working fluids with thirteen indexes are developed to fulfill the performance evaluation and decision-making courses. Parametric analysis results of the decision criteria are conducted including specific net out power ($A{P}_{\mathit{net}}$), thermal efficiency (${\eta }_t$), exergy efficiency (${\eta }_e$), heat transfer area per net output power (APR) and electricity production cost (EPC), and the different performance of TORC for GR-I and GR-II are fully revealed. As for the GR-I, the result of the three-level fuzzy decision ranking order is R142b, R134a, R290, R1270, R227ea and R143a. In regard to the GR-II, it’s R142b, R1270, R134a, R290, R227ea and R143a. Both show that R142b performs best. In the GR-I and GR-II, R142b obtains the maximal $A{P}_{\mathit{net}}$ of 110.94 kW/(kg·s⁻¹) and 198.14 kW/(kg·s⁻¹), the maximal ${\eta }_t$ of 14.05% and 14.43%, the maximal ${\eta }_e$ of 51.42% and 42.90%, the minimal APR of 0.262(m²/kW) and 0.185(m²/kW), the minimal EPC of 0.030($/(kW·h)) and 0.022($/(kW·h)).

Summarily, this three-level fuzzy decision evaluation method can provide important guidance and decisive solution by concisely display the pros and cons for each ORC scheme of geothermal resource utilization.

可靠的决策方法对于设计实用，有效的有机朗肯循环（ORC）系统以开发地热能至关重要。本文基于累进的系统性能等级，开发了一种三级非结构模糊决策算法，用于对地流体驱动的跨临界ORC（TORC）系统进行综合评估，涉及环境特征，安全性，热力学和技术-经济表现。研究了两个具有代表性的中温（GR-I）和高温（GR-II）地热储层，以实现和验证该方法。开发了四个数学模型和六个具有十三项指标的工作流体来完成绩效评估和决策课程。$\mathrm{一种}{P}_{\mathit{净}}$），热效率（${\eta }_{Ť}$），火用效率（${\eta }_{Ë}$），单位净输出功率（APR）和电力生产成本（EPC）的传热面积以及GR-I和GR-II的TORC的不同性能得到了充分的揭示。对于GR-1，​​三级模糊决策排名顺序的结果是R142b，R134a，R290，R1270，R227ea和R143a。关于GR-II，它是R142b，R1270，R134a，R290，R227ea和R143a。两者都表明R142b表现最佳。在GR-I和GR-II中，R142b获得最大值$\mathrm{一种}{P}_{\mathit{净}}$最大为110.94 kW /（kg·s ^-1）和198.14 kW /（kg·s ^-1）${\eta }_{Ť}$ 最大为14.05％和14.43％ ${\eta }_{Ë}$分别为51.42％和42.90％，最小APR为0.262（m ² / kW）和0.185（m ² / kW），最小EPC为0.030（$ /（kW·h））和0.022（$ /（kW·h） ））。

综上所述，这种三级模糊决策评价方法可以通过简要展示每种地热资源利用ORC方案的优缺点，提供重要的指导和决定性的解决方案。