Conference proceedings editor
Information Processing and Management of Uncertainty in Knowledge-Based Systems: 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 1
Marie-Jeanne Lesot (M.J. Lesot); Susana Vieira (S. Vieira); Marek Z. Reformat (M. Reformat); João Paulo Carvalho (João P. Carvalho); Fernando Batista (Batista, F.); Bernadette Bouchon-Meunier (Bernadette Bouchon-Meunier); Ronald R. Yager (Ronald R. Yager); et al.
Web of Science®

This publication is not indexed in Web of Science®

Scopus

This publication is not indexed in Scopus

Google Scholar

This publication is not indexed in Google Scholar

This publication is not indexed in Overton

Abstract
This book is a collection of papers focused on techniques for managing uncertainty and aggregation. It provides a forum for exchanging ideas between theoreticians and practitioners in these and related areas. The papers are part of the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, which will occur in Lisbon, Portugal, from July 22 to 26, 2024. The collection describes the latest findings on topics such as advances in fuzzy systems and data analysis, optimization, scheduling via modeling uncertainty, explainability, decision-making, implications, data aggregation, and aggregation operators. A special chapter is dedicated to the memory of Michio Sugeno. The book is a valuable resource for practitioners, researchers, and graduate students who want to apply fuzzy-based techniques to real-world data analysis and management processes involving imprecision and uncertainty.
Acknowledgements
--
Keywords
Computational Intelligence,Information Processing,Uncertainty,Knowledge- Based Systems,IPMU,IPMU 2024
  • Computer and Information Sciences - Natural Sciences
  • Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology

With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência_Iscte. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.