效率、博弈与PSM
53 种方法属于此方法族。
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Arrow-Debreu均衡The Arrow-Debreu model is a general equilibrium framework where prices adjust to clear all markets simultaneously, and consumers and firms optimize given those prices. Introduced bBayesian Nash EquilibriumBayesian Nash Equilibrium (BNE) extends Nash Equilibrium to games with incomplete information, where players lack full knowledge of others' payoff functions. Introduced by John Har贝叶斯六西格玛 DMAICBayesian Six Sigma DMAIC integrates Bayesian statistical inference into the classical Define-Measure-Analyze-Improve-Control quality-improvement framework. Rather than relying soleBelief Rule BaseBelief Rule Base (BRB), introduced by Yang et al. in 2006 under the RIMER framework, is an expert-system inference methodology that extends classical if-then rules by attaching belBootstrap DEA：效率得分的偏差校正与置信区间Bootstrap Data Envelopment Analysis (Bootstrap DEA) is a resampling-based extension of standard DEA that provides statistically valid inference for efficiency scores. Introduced by基于案例推理 (CBR)Case-based reasoning solves a new problem by retrieving similar problems solved in the past and adapting their solutions, rather than reasoning from first principles or a trained s
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全部方法 53
Arrow-Debreu均衡Bayesian Nash Equilibrium贝叶斯六西格玛 DMAICBelief Rule BaseBootstrap DEA：效率得分的偏差校正与置信区间基于案例推理 (CBR)古诺竞争DEA医院效率证据的Dempster-Shafer理论进化博弈论首价拍卖形式概念分析 (FCA)模糊认知图 (FCM)Gale-Shapley 算法GM(1,1) 灰色预测模型粒计算（信息粒化）灰色聚类：基于白化法的非确定性分类混合六西格玛DMAIC不精确概率Malmquist生产率指数多响应六西格玛DMAIC纳什均衡网络数据包络分析 (Network DEA)优化辅助的六西格玛DMAIC整体设备效率 (OEE)可能性理论委托随机效用模型丰富图像（Rich Picture）基于风险的六西格玛DMAICRobust Six Sigma DMAIC根本原因分析六西格玛DMAIC的敏感性分析Shapley值仿真辅助的六西格玛DMAIC六西格玛 DMAICSix Sigma in HealthcareSODA – 战略选项开发与分析（认知图谱法）软集理论软系统方法论 (SSM)斯塔克尔伯格竞争随机前沿分析 (SFA)战略选择方法子博弈完美均衡超效率数据包络分析符号数据分析约束理论 (TOC)三向决策顶尖交易循环价值流图 (VSM)可变精度粗糙集模型 (VPRS)VCG机制窗口数据包络分析