【经管大讲堂2020第021期】

作者:时间:2020-09-28浏览:914供图:审阅:来源:乐投Letou

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报告题目:Fuzzy sets Mini Course

报告所属学科:治理科学与工程

报告人:Witold Pedrycz(加拿大阿尔伯塔大学、加拿大皇家科学院、波兰科学院)

报告时间:2020年10月14日 09:30

报告所在:腾讯集会:43644667252 QQ群:687807963

报告摘要:

(1)Fundamentals: information granules and Granular Computing. Main concepts. Human-centric systems for data analytics, explainability and interpretability, explainable Artificial Intelligence, fundamental concepts of fuzzy sets and interval analysis.

(2)Computing with fuzzy sets: calculus of intervals and fuzzy sets, representation theorem, operations on fuzzy sets, fuzzy relations, extension principle, fuzzy arithmetic, higher type, higher order fuzzy sets and hybrid fuzzy sets

(3)Elicitation of fuzzy sets: user-oriented elicitation of membership functions, fuzzy clustering,

the principle of justifiable granularity, granulation and degranulation processes

(4)Fuzzy models: essential features, main categories of models, calculus of rules and design of rule-based models, inference mechanisms, linguistic models

(5)Classification and knowledge representation with information granules, knowledge representation with fuzzy cognitive maps, fuzzy associative memories.

报告人简介:

Witold Pedrycz,加拿大阿尔伯塔大学讲席教授,加拿大皇家科学院院士,波兰科学院外籍院士,电气和电子工程师协会会士 。担当Information Sciences和WIREs Data Mining and Knowledge Discovery主编,以及Int. J. of Granular Computing和J. of Data Information and Management配合主编 。出书专著18本,H指数109 。主要研究偏向包括盘算智能、模糊建模和颗粒盘算、知识发明和数据科学、模式识别、数据科学、基于知识的神经网络和控制工程等 。


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