针对海上风机基础设计中经常遇到复杂的方案优化选型问题，将多因素、多级模糊优选理论引入到基础的设计选型中。针对影响因素复杂、确定隶属函数主观因素较强的情况， 成功引入因素的优先关系法来确定优选矩阵的隶属度， 较好地解决了确定隶属函数的人为影响。通过此优选模型成功地将影响基础设计选型的13 种主要因素和4 种桩基基础设计形式进行了多级模糊综合优选决策，得到了比较理想的决策结果， 为海上风机基础设计选型提供了新的思路。

Offshore wind energy is one of the most attractive sources of renewable energy,however, the economics of offshore wind turbines especially foundations are currently challenges. Because of the difficulties met in conception design of offshore wind turbines foundations, a multi-level and multi-factor fuzzy optimization model has been used in lectotype optimization of foundations. In order to decrease the subjective influences, the multi-level fuzzy optimization has been introduced to cover most of the effect factors, and the prior relation method has been used to determine the membership grade in comprehensive optimization and weight. Considering various 13 factors of optimization objects and 4 design types of pile-style foundation, the method has been successfully used to an offshore wind farm for the lectotype optimization of pile-style foundations. The result shows that the new framework and methodology is scientific, reasonable and easy to use in lectotype optimization of offshore wind turbines foundations.

翟钢军（1971—），男，山东烟台市人，大连理工大学副教授，研究方向为海洋工程、近海可再生能源