LEADER 03593nam 22006255 450 001 9910983083603321 005 20250212115414.0 010 $a9783031739972 010 $a3031739973 024 7 $a10.1007/978-3-031-73997-2 035 $a(CKB)37515863700041 035 $a(MiAaPQ)EBC31903271 035 $a(Au-PeEL)EBL31903271 035 $a(OCoLC)1499720216 035 $a(DE-He213)978-3-031-73997-2 035 $a(EXLCZ)9937515863700041 100 $a20250212d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInformation Processing and Management of Uncertainty in Knowledge-Based Systems $e20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 3 /$fedited by Marie-Jeanne Lesot, Susana Vieira, Marek Z. Reformat, Joćo Paulo Carvalho, Fernando Batista, Bernadette Bouchon-Meunier, Ronald R. Yager 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (655 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v1176 311 08$a9783031739965 311 08$a3031739965 327 $aSuppressing 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. 330 $aThis book is a collection of papers focused on techniques for managing uncertainty and aggregation. It provides a forum for exchanging ideas between theoreticians and practitioners in these and related areas. The papers are part of the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, which will occur in Lisbon, Portugal, from July 22 to 26, 2024. The collection describes the latest findings on topics such as advances in fuzzy systems and data analysis, optimization, scheduling via modeling uncertainty, explainability, decision-making, implications, data aggregation, and aggregation operators. A special chapter is dedicated to the memory of Michio Sugeno. The book is a valuable resource for practitioners, researchers, and graduate students who want to apply fuzzy-based techniques to real-world data analysis and management processes involving imprecision and uncertainty. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v1176 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.33 700 $aLesot$b Marie-Jeanne$01782318 701 $aVieira$b Susana$01782319 701 $aReformat$b Marek Z$01782320 701 $aCarvalho$b Joćo Paulo$01782321 701 $aBatista$b Fernando$01782322 701 $aBouchon-Meunier$b Bernadette$0733697 701 $aYager$b Ronald R$0754453 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983083603321 996 $aInformation Processing and Management of Uncertainty in Knowledge-Based Systems$94308400 997 $aUNINA