Welcome to the Annual Conference of the North American Fuzzy Information processing Society NAFIPS’2021. This conference will be held virtually (online) at Purdue University. Registration for the conference is open. More information can be found in INFO FOR AUTHORS tab.
Talks will be held via Zoom, live. Please make sure you have Zoom version 5.3 or above to allow for your seamless transition between parallel sessions. Student volunteers will be available in the main room as well as parallel sessions to help with the technology.
There will be a training session on June 6th at 2p EST for participants who would like to try parallel session functionality.
Aims & Scope
The aim of NAFIPS 2021 is to bring together researchers, engineers, and practitioners working in fuzzy logic and related areas to present their latest achievements and innovations. The meeting offers a unique platform for the exchange of ideas, discussion of thought-provoking developments and challenges, consideration of potential future directions.
The scope of this conference covers all aspects of theory and applications in fuzzy systems, soft computing methods, and fuzzy information processing.
The topics cover all aspects of fuzzy systems and their applications including, but not limited to:
- mathematical foundations of fuzzy sets and fuzzy systems
- approximate reasoning, fuzzy inference models, and soft computing
- fuzzy sets and fuzzy logic
- fuzzy decision analysis, decision making, optimization, and design
- fuzzy system architectures and hardware
- fuzzy methods in data analysis, statistics and imprecise probability
- fuzzy databases and information retrieval
- fuzzy pattern recognition and image processing
- fuzzy control and robotics
- possibility theory
- fuzzy sets and logic in ontology, web, and social networks
- fuzzy preference modeling
- fuzzy sets in operations research and manufacturing
- fuzzy database mining and financial forecasting
- fuzzy neural networks
- fuzzy systems in machine learning
- fuzzy systems in video games
- evolutionary and hybrid systems
- explainable AI
- intelligent agents and ambient intelligence
- learning, adaptive, and evolvable fuzzy systems
Dr. Julia Rayz: firstname.lastname@example.org