二型模糊系统理论及其在知识个性化推荐中的应用

Type-2 fuzzy system and personalized recommendation systems are the newest theory and platform emerging at the beginning of this century for subjective uncertainty complex modeling and saling promotion E-business intelligence platform, respectively. Large data growth and network socialization arise the complexities of business models and user behavior, which bring both new opportunities and challenges for the theoretical study of the former and applied research of the latter. With the solid, deep research accumulations and extensive, in-depth basis of international cooperation, this project plans to study the information process and knowledge representation theory with type-2 fuzzy logic and corresponding personalized recommendation models, algorithms and applications. They include: the representation of type-2 fuzzy uncertainty metric system and the model expansion of collaborative filtering with type-2 fuzzy logic system; The design optimization and calculation simplification of type-2 fuzzy systems and its dynamic type-2 fuzzy recommendation algorithm; The semantics extraction and representation method and their applications in knowledge based type-2 fuzzy recommended models; Type-2 fuzzy information aggregation decision theory and the recommendation algorithms with behavioral preferences and social networks; type-2 fuzzy system computer simulation and its recommended decision support system. The project provides background for the relevant theoretical research and the support method for the applied research, respectively. The project were of great theoretical significance and application value. It improves and complements the weaknesses of the research and research gaps in some extent.

二型模糊系统和个性化推荐分别是本世纪初发展起来的主观不确定复杂建模新理论和电子商务智能销售新平台。大数据增长和网络社会化带来商务模式和用户行为的复杂化，也同时为前者理论研究和后者应用研究提出了新的机遇和挑战。本项目基于项目组在模糊系统和信息管理与决策方面扎实、深厚的研究积累和广泛、深入的国际合作基础，研究基于二型模糊系统的信息处理和知识表示理论及其个性化推荐模型、算法和应用。主要包括：二型模糊系统的不确定性度量指标体系及其协同过滤模型扩展；二型模糊系统设计和计算的优化和简化方法及其动态二型模糊推荐算法；二型模糊系统语义提取和表示方法及其二型模糊知识推荐模型；二型模糊信息集成决策理论及其行为偏好和社会网络推荐算法；二型模糊系统计算机仿真及其推荐决策支持系统。本项目分别为相关的理论和应用研究提供背景和方法支持，具有重要的理论意义和应用价值，在一定程度上完善和补充了相关研究的薄弱环节和研究空白。

二型模糊系统和个性化推荐分别是本世纪初发展起来的主观不确定复杂建模新理论和电子商务智能销售新平台。大数据增长和网络社会化带来商务模式和用户行为的复杂化，也同时为前者理论研究和后者应用研究提出了新的机遇和挑战。本项目基于项目组在模糊系统和信息管理与决策方面扎实、深厚的研究积累和广泛、深入的国际合作基础，研究基于二型模糊系统的信息处理和知识表示理论及其个性化推荐模型、算法和应用。主要包括：二型模糊系统的不确定性度量指标体系及模型扩展；二型模糊系统设计和计算的优化和简化方法及其动态二型模糊推荐算法；二型模糊系统语义表示方法及其二型模糊知识推荐模型；二型模糊信息集成决策理论及其行为偏好和社会网络推荐算法；二型模糊系统计算机仿真及其推荐决策支持。目前在一定程度上完善和补充了相关研究的薄弱环节和研究空白。本项目共发表国际SCI，SSCI收录国际期刊论文38篇， 项目负责人和参与项目的博士生后续获批相关国家自然基金3项，产生了一定的国内外学术影响。

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