粒计算中的不确定性分析与研究

项目名称： 粒计算中的不确定性分析与研究

项目编号： No.61273304

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 苗夺谦

作者单位： 同济大学

项目金额： 82万元

中文摘要： 不确定性问题是智能信息处理中的研究热点之一，粒计算是当前计算智能研究中模拟人类思维和解决复杂问题的新方法。从粒计算角度研究不确定性是一个新的、具有挑战性的研究课题。本项目拟在粒计算框架下从不确定性的表示及不确定性的度量两个方面入手，对概念、知识及推理的不确定性问题进行系统、深入研究。主要研究内容有：（1）系统研究概念的不确定性表示与度量；（2）系统研究知识的不确定性表示与度量以及知识粒度表示的统一框架；（3）系统研究推理的不确定性表示与度量，根据不确定性规则程度保持的不同需求，设计相应的广义差别矩阵，并开发高效的知识约简算法；（4）多粒度下不确定性之间的关系研究。本项目的研究将对不确定性本质的认识具有重要的理论意义，对解决复杂问题和开发智能系统具有潜在的应用价值。

中文关键词： 粒计算；粗糙集；不确定性度量；双量化；属性约简

英文摘要： Uncertainty analysis is one of most important research topics in the area of intelligent information processing. While Granular Computing, which simplifies complex real world problems by considering different levels of granularity, provides a general and effective methodology for problem solving and information processing in computing intelligent. The study for uncertainty from a point view of granular computing is a meaningful but also challenging job. This project is planned to study the problems of representations and mesures of uncertainty under the framework of granular computing, where concept, knowledge and reasoning are the main focuses in this project and the uncertainty of them will be explored in depth. The main work of this project are included as follows: (1) The systemically study for representations and mesures of uncertainty of concepts. (2) The systemically study for representations and mesures of uncertianty of knowledge. An unified and effective representative framework of uncertianty and its granular structure will also be considered. (3) The representations and mesures for uncertianty reasoning; The general discernibility matrix with user's objective and the corresponding algorithm for reduction. (4) The relationships of uncertianty under diverse granulations. These studies will give us a f

英文关键词： granular computing；rough sets；uncertainty measures；double quantification；attribute reduction