基于组合赋权-云模型的毕达哥拉斯模糊语言综合评价方法研究

评价本身具有随机性、模糊性以及不确定性的特点。为了避免评价过程太过主观，提出一种基于组合赋权和云模型的毕达哥拉斯模糊语言综合评价方法。针对专家给出的属性值为毕达哥拉斯模糊语言，根据CRITIC-G1（标准间相关性的重要性-序关系分析）法对评价指标进行主客观赋权，由博弈论算法计算权重最优的组合系数得出组合权重。最后构建毕达哥拉斯模糊云模型决策矩阵进行信息集结。通过案例计算分析表明，该方法优化了复杂情境下的决策，具有其可行性和有效性。

Research on Comprehensive Evaluation Method of Pythagorean Fuzzy Language Based on Combination Weighting and the Cloud Model

The evaluation itself is characterized by randomness, ambiguity and uncertainty. In order to avoid the evaluation process being too subjective, a comprehensive evaluation method of Pythagorean fuzzy language based on combinatorial empowerment and cloud model is proposed. For the attribute value given by the expert is Pythagorean fuzzy language, the evaluation index is subjectively and objectively weighted according to G1 and CRITIC -G1(criteria importance though intercrieria correlation-order relation analysis )methods, and the combination weight is obtained by calculating the combination coefficient with the optimal weight by the game theory algorithm.Finally, the decision matrix of the Pythagorean fuzzy cloud mo-del is constructed for information gathering. Case analysis shows that this method optimizes decision-making in complex situations, and has feasibility and effectiveness.