Granular computing for the design and implementation of intelligent information systems

用于智能信息系统设计和实现的粒计算

• 批准号: 137766-2007
• 负责人: Yao, Yiyu
• 金额: $ 1.38万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=422184
• 关键词: Granular; computing; design; implementation; intelligent

Information and knowledge granulation plays a central role in human-centered information processing and problem solving. Any information system of true intelligence must be able to process information and reason at multiple levels of granularity. Granular computing is an emerging field devoted to the study of this topic. A great challenge faced by researchers is the lack of a well-accepted common understanding and a unified framework. In the proposed program, I not only search for a unified view of granular computing, but also apply its principles to implement intelligent information systems. The research program has three parts: building a conceptual framework, constructing a unified model, and implementing prototype information systems based on the framework and the model. A conceptual framework of granular computing will be fully developed at three levels by drawing results from many branches of science. Granular computing can be viewed as structured thinking at the philosophical level, structured problem solving at the practical level, and structured information processing at the computational level. These views correspond naturally to the conceptual understanding, logical design and software implementation of information systems. A unified model of granular computing will be built by synthesizing scattered results from existing studies and related theories. The value of the framework and the model will be evaluated by implementing prototype systems, such as information retrieval support systems, research support systems, and intelligent data analysis systems.

信息和知识粒化在以人为中心的信息处理和问题解决中起着核心作用。 任何真正智能的信息系统都必须能够在多个粒度级别上处理信息和推理。粒计算是一个致力于研究这一主题的新兴领域。 研究人员面临的一个巨大挑战是缺乏一个公认的共识和统一的框架。 在这个计划中，我不仅寻求一个统一的观点，粒计算，但也适用于其原则，实现智能信息系统。 研究计划分为三个部分：建立一个概念框架，建立一个统一的模型，并实现原型信息系统的框架和模型的基础上。 一个概念框架的粒度计算将在三个层次上充分发展，从许多科学分支的结果。 粒度计算可以被视为哲学层面的结构化思维，实践层面的结构化问题解决，以及计算层面的结构化信息处理。 这些观点自然对应于信息系统的概念理解、逻辑设计和软件实现。 综合现有研究成果和相关理论，建立统一的粒计算模型。 该框架和模型的价值将通过实施原型系统，如信息检索支持系统，研究支持系统和智能数据分析系统进行评估。