学术报告第201903期

报告题目：Developments in Type-2 Fuzzy Logic

报 告 人：Jonathan Garibaldi（英国诺丁汉大学教授）

报告时间：2019年1月8日 上午10:00

报告地点：南一楼中311

摘要：Type-2 fuzzy sets and systems, including both interval and general type-2 sets, are now firmly established as tools for the fuzzy researcher that may be deployed on a wide range of applications and in a wide set of contexts. However, in many situations the output of type-2 systems are type-reduced and then defuzzified to an interval centroid, which are then often even simply averaged to obtain a single crisp output. Many successful applications of type-2 have been in control contexts, often focussing on reducing the RMSE. This is not taking full advantage of the extra modelling capabilities inherent in type-2 fuzzy sets. In this talk, I will present some recent research being carried out within the LUCID group at Nottingham into type-2 for modelling human reasoning. I will cover approaches and methodologies which make more use of type-2 capabilities, illustrating these with reference to practical applications such as classification of breast cancer tumours, modelling expert variability, and other decision support problems.

简历：Garibaldi教授1984年于英国布里斯托大学（Bristol University，UK）获物理学学士学位，1990年和1997年于普利茅斯大学（University of Plymouth，UK）分获智能系统理学硕士和博士学位。1992年至1999年在普利茅斯大学任研究助理和研究员。1999年至2002年在De Montfort大学任讲师和高级讲师。2002年起任职于诺丁汉大学，现任诺丁汉大学计算智能学科教授，英国诺丁汉大学计算机科学系的负责人，领导智能建模与分析（IMA）研究小组，并且是高级数据分析中心（ADAC）的创始人。他的主要研究兴趣是医学领域的建模不确定性和人工推理变异。他在模糊集与系统以及实际应用领域作出了许多贡献。Garibaldi教授发表了200余篇关于模糊系统和智能数据分析的论文，目前是IEEE模糊系统汇刊（IEEE Transactions on Fuzzy Systems，IF: 8.415）的主编。