由于新发病例和死亡病例均居恶性肿瘤首位，肺癌已成为我国一个重大公共卫生难题。作为世界肺癌第一大国，我国日益增长的肺癌发病率对肺癌早期诊断和准确诊疗提出了新挑战。鉴于肺癌诊疗决策中存在诸如患者医疗检查数据不全面不准确、医生诊断信息含糊或不确定、以及患者与医生交流信息为认知复杂信息等特点，本项目将系统深入地研究基于认知复杂信息的决策理论和方法，并探讨这类理论和方法在肺癌辅助诊断与智能决策中的应用。具体内容包括：研究认知复杂信息环境下的多属性决策理论与方法；探讨认知复杂信息环境下群体共识理论及交互式决策方法；研究认知复杂信息环境下的证据推理方法；研究认知复杂信息环境下的统计分析方法；将上述理论成果应用到肺癌高危人群识别与筛选、复杂认知数据驱动下的单个专家精准辅助诊断、多专家多学科会诊优化和患者个性化康复决策中，尝试建立高效的肺癌辅助诊疗决策系统，为推进“健康中国2030”规划的实现提供有益尝试。

Because the numbers of both new cases and dead cases of lung cancer rank the first among those of all malignancies, the lung cancer has become the major public health problem in China. As a country with the largest group of lung cancer patients in the world, China is facing new challenges regarding the early and accurate diagnoses and treatments for lung cancer against the increasing incidence of the lung cancer. There are some characteristics of the lung cancer diagnosis, such as the incomplete and inaccurate data of patients' medical examination, the vague or uncertain information of doctors' diagnosis, and the cognitive complex information (CCI) of the communication between patients and doctors. Because of this, this project dedicates to systematically and deeply investigating the decision-making theories and methodologies based on the CCI, and exploring the applications of these theories and methodologies in lung cancer diagnosis and intelligent decision making. It includes the following contents: (1) this project studies the multiple criteria decision making theories and methods with the CCI; (2) this project studies the group decision making and interactive group decision making theories and methods with the CCI; (3) this project investigates the evidential reasoning theories and methods with the CCI; (4) this project develops the fuzzy statistics methods in the cognitive complex environment; (5) in the application level, this projects applies the above research achievements to the identification and screening of high-risk groups of lung cancer, the single-expert precise diagnosis driven by complex cognitive data, the optimization of multi-experts and multi-disciplines consultation, and the personalized rehabilitation and decision making of patients. This project tries to establish an efficient decision-making system for lung cancer diagnosis and treatment, which provides useful attempts and insights to promote the realization of the "Healthy China 2030" plan.