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Multiple Attribute Decision Making Under Uncertainty: The Evidential Reasoning Approach Revisited

机译：不确定性下的多属性决策：循证推理方法的再探讨

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Van Nam Huynh; Yoshiteru Nakamori; Tu Bao Ho; Tetsuya Murai;
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年度 2008
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1. Multiple-Attribute Decision Making Under Uncertainty: The Evidential Reasoning Approach Revisited [J] . Huynh V.-N., Nakamori Y., Ho T.-B., IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans . 2006,第4期

机译：不确定性下的多属性决策：循证推理方法的再探讨
2. Induced Ordered Weighted Evidential Reasoning Approach for Multiple Attribute Decision Analysis with Uncertainty [J] . Shuang Yao, Wei-Qiang Huang International journal of entelligent systems . 2014,第10期

机译：不确定多属性决策的诱导有序加权证据推理方法
3. An evidential reasoning approach for multiple-attribute decision making with uncertainty [J] . Jian-Bo Yang, Singh M.G. IEEE Transactions on Systems, Man, and Cybernetics . 1994,第1期

机译：不确定性多属性决策的证据推理方法
4. An evidential reasoning based multiple attribute decision making approach under fixed attributes [C] . Mi Zhou, Xin-Bao Liu, Wen-Jing Xu, International Conference on Natural Computation;International Conference on Fuzzy Systems and Knowledge Discovery . 2015

机译：固定属性下基于证据推理的多属性决策方法
5. Uncertainty management and evidential reasoning with structured knowledge. [D] . Chang, Li-Wu. 1989

机译：具有结构化知识的不确定性管理和证据推理。
6. Topic selection for health technology assessment: An approach combining multiple attribute decision making and decision rules [O] . Mohammadreza Mobinizadeh, Efat Mohamadi, Hosein Arman, 2021

机译：健康技术评估的主题选择：一种结合多个属性决策和决策规则的方法
7. Multiple-Attribute Decision Making Under Uncertainty: The Evidential Reasoning Approach Revisited [O] . Van-nam Huynh, Yoshiteru Nakamori, Tu-bao Ho, 2008

机译：不确定性下的多属性决策：循证推理方法的再探讨
8. Data Fusion of Multiple Sensors Attribute Information for Target Identity Estimation Using a Dempster-Shafer Evidential Combination Algorithm [R] . Marc-Alain Simard, Jean Couture, Eloi Bosse 1996

机译：用Dempster-shafer证据组合算法进行目标身份估计的多传感器属性信息数据融合

Multiple Attribute Decision Making Under Uncertainty: The Evidential Reasoning Approach Revisited

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