讲座题目：From Prediction Intervals to Prediction Information Granules:A Perspective of Granular Computing

报 告 人：Witold Pedrycz 加拿大皇家科学院院士

讲座日期：2016-6-23

讲座时间：15:00

地    点：长安校区 图书馆西附楼学术报告厅

主办单位：bevitor伟德官网、图书馆

讲座内容简介：

Prediction models and their efficient evaluation arise as an important and timely direction of fundamental and applied research. It is apparent that there are no ideal models. It is impossible to envision a situation where any model can deliver an ideal fit to experimental data. It is also needless to say that the quality of any model is of paramount importance to any application. To offer a sound and realistic evaluation of the quality of constructed models, it is legitimate and intuitively appealing to admit that the prediction results come in a certain non-numeric way.

In this talk, we focus on the concepts of predictive models with prediction results being realized in the form of information granules. We develop a comprehensive algorithmic setting behind the design of information granules of prediction and offer a detailed quantification of quality of information granules. With regard to the nature of prediction information granules, two facets of their quality are identified and characterized, namely a coverage criterion and a specificity criterion.  Their roles are presented along with a composite index and its ensuing optimization through an optimal allocation of information granularity.

For the completeness of the presentation and its suitable positioning in a general context, some well-known constructs of statistically-guided prediction in linear regression such as confidence intervals, confidence curves, and prediction intervals are briefly reviewed.

The generic idea of prediction intervals is generalized to embrace information granules of prediction including constructs such as fuzzy sets. In the sequel, we introduce a concept of a granular parameter space and a granular output space yielding a granular nature of prediction.

讲座人简介：

Witold Pedrycz博士是加拿大阿尔伯塔大学电子与计算机工程系的教授，也是加拿大智能计算首席首席科学家（CanadianResearch Chair），是该领域国际著名科学家。2009年，Pedrycz博士当选波兰科学院外籍院士；并于2012年当选加拿大皇家科学院院士。他是IFSA Fellow, IEEE Fellow。主要研究方向涉及计算智能、模糊建模与粒度计算、数据挖掘、模糊控制、模式识别、知识神经网络、关系处理和软件工程等诸多领域，并且在上述领域发表了大量的学术论文，在计算机智能与软件工程等领域著有15本研究专著。Pedrycz博士是国际著名杂志Information Sciences和IEEE Transactions on Systems, Man,and Cybernetics - Part A等杂志的主编，IEEE Transactions on Fuzzy Systems、IEEE Transactions on Neural Networks以及多个国际著名杂志的编委。2007年，获得IEEE Norbert Wiener Award，该奖是IEEESMCS协会颁发的最高技术成就奖。2009年，获得Soft Computing领域国际最高奖Cajastur Prize，还获得了IEEE加拿大计算机工程勋章等。