Information Processing and Management of Uncertainty in Knowledge-Based Systems - Info and Reading Options
20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 3
By Marie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, João Paulo Carvalho, Fernando Batista, Bernadette Bouchon-Meunier and Ronald R. Yager
"Information Processing and Management of Uncertainty in Knowledge-Based Systems" was published by Springer Nature in 2025-02-12, the book is classified in Computers genre, it has 402 pages and the language of the book is English.
“Information Processing and Management of Uncertainty in Knowledge-Based Systems” Metadata:
- Title: ➤ Information Processing and Management of Uncertainty in Knowledge-Based Systems
- Authors: ➤ Marie-Jeanne LesotSusana VieiraMarek Z. ReformatJoão Paulo CarvalhoFernando BatistaBernadette Bouchon-MeunierRonald R. Yager
- Language: English
- Number of Pages: 402
- Is Family Friendly: Yes - No Mature Content
- Publisher: Springer Nature
- Publish Date: 2025-02-12
- Genres: Computers
Edition Identifiers:
- Google Books ID: LudFEQAAQBAJ
- ISBN-13: 9783031739972
- ISBN-10: 3031739973
- All ISBNs: 9783031739972 - 3031739973
AI-generated Review of “Information Processing and Management of Uncertainty in Knowledge-Based Systems”:
Snippets and Summary:
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.
"Information Processing and Management of Uncertainty in Knowledge-Based Systems" Description:
Google Books:
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.
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- Public Domain: No
- Availability Status: Partially available
- Availability Status for country: US.
- Available Formats: Text is available, image copy is available.
- Google Books Link: Google Books
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