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Information Processing and Management of Uncertainty in Knowledge-Based Systems = 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024 : proceedings.. Volume 3 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Information Processing and Management of Uncertainty in Knowledge-Based Systems/ edited by Marie-Jeanne Lesot ... [et al.].
Reminder of title:	20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024 : proceedings.
remainder title:	IPMU 2024
other author:	Lesot, Marie-Jeanne.
corporate name:	International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xxii, 390 p. :ill., digital ;24 cm.
[NT 15003449]:	Suppressing impulse noise via cloud filtering -- A Proposed Liver Cancer Classification -- Estimating the registration error of brain MRI data based on regression U-Net -- User-friendly health-conscious recipe adaptation system using fuzzy linguistic variables -- Unveiling Hidden Patterns in Clinical Databases: A Novel Approach Using Level-By-Level Association Rule Mining.
Contained By:	Springer Nature eBook
Subject:	Expert systems (Computer science) - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-73997-2
ISBN:	9783031739972

Information Processing and Management of Uncertainty in Knowledge-Based Systems = 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024 : proceedings.. Volume 3 /
Information Processing and Management of Uncertainty in Knowledge-Based Systems20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024 : proceedings.Volume 3 /[electronic resource] :IPMU 2024edited by Marie-Jeanne Lesot ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xxii, 390 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,11762367-3389 ;. - Lecture notes in networks and systems ;1176..

Suppressing impulse noise via cloud filtering -- A Proposed Liver Cancer Classification -- Estimating the registration error of brain MRI data based on regression U-Net -- User-friendly health-conscious recipe adaptation system using fuzzy linguistic variables -- Unveiling Hidden Patterns in Clinical Databases: A Novel Approach Using Level-By-Level Association Rule Mining.

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.

ISBN: 9783031739972

Standard No.: 10.1007/978-3-031-73997-2doiSubjects--Topical Terms:

572486
Expert systems (Computer science)
--Congresses.

LC Class. No.: QA76.76.E95

Dewey Class. No.: 006.33

Information Processing and Management of Uncertainty in Knowledge-Based Systems = 20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024 : proceedings.. Volume 3 /
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520 $a 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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