000			01841nam a2200373Ia 4500
000			02778nam a22003975i 4500
001			978-3-031-46775-2
003			DE-He213
005			20240319121134.0
007			cr nn 008mamaa
008			231026s2023 sz | s |||| 0|eng d
020			_a9783031467752 _9978-3-031-46775-2
082			_a6.3
245			_aIntegrated Uncertainty in Knowledge Modelling and Decision Making _cedited by Van-Nam Huynh, Bac Le, Katsuhiro Honda, Masahiro Inuiguchi, Youji Kohda. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXXVII, 333 p. 79 illus., 56 illus. in color. _bonline resource.
520			_aThese two volumes constitute the proceedings of the 10th International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023. The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved with all aspects of uncertainty modelling and management.
650			_aAlgorithms. _939215
650			_aArtificial intelligence. _939216
650			_aArtificial Intelligence. _939217
650			_aComputer science _939218
650			_aDatabase Management System. _939219
650			_aDatabase management. _939220
650			_aDesign and Analysis of Algorithms. _939221
650			_aMathematics of Computing. _939222
700			_aHonda, Katsuhiro. _939223
700			_aHuynh, Van-Nam. _939224
700			_aInuiguchi, Masahiro. _939225
700			_aKohda, Youji. _939226
700			_aLe, Bac. _939227
856			_uhttps://doi.org/10.1007/978-3-031-46775-2
942			_cEBK _2ddc
999			_c15854 _d15854