報告題目：Fuzzy sets Mini Course

報告所屬學科：管理科學與工程

報告人：Witold Pedrycz（加拿大阿爾伯塔大學、加拿大皇家科學院、波蘭科學院）

報告時間：2020年10月14日 09:30

報告地點：騰訊會議：43644667252 QQ群：687807963

報告摘要：

（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.

報告人簡介：

Witold Pedrycz，加拿大阿爾伯塔大學講席教授，加拿大皇家科學院院士，波蘭科學院外籍院士，電氣和電子工程師協會會士。擔任Information Sciences和WIREs Data Mining and Knowledge Discovery主編，以及Int. J. of Granular Computing和J. of Data Information and Management共同主編。出版專著18本，H指數109。主要研究方向包括計算智能、模糊建模和顆粒計算、知識發現和數據科學、模式識別、數據科學、基于知識的神經網絡和控制工程等。