000			01841nam a2200373Ia 4500
000			02777nam a22003975i 4500
001			978-3-031-46781-3
003			DE-He213
005			20240319121135.0
007			cr nn 008mamaa
008			231026s2023 sz | s |||| 0|eng d
020			_a9783031467813 _9978-3-031-46781-3
082			_a6.3
245			_aIntegrated Uncertainty in Knowledge Modelling and Decision Making _cedited by Katsuhiro Honda, Bac Le, Van-Nam Huynh, Masahiro Inuiguchi, Youji Kohda. _h[electronic resource] :
250			_a1st ed. 2023.
260			_aCham _bSpringer Nature Switzerland _c2023
300			_aXVII, 375 p. 104 illus., 63 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. _939228
650			_aArtificial intelligence. _939229
650			_aArtificial Intelligence. _939230
650			_aComputer science _939231
650			_aDatabase Management System. _939232
650			_aDatabase management. _939233
650			_aDesign and Analysis of Algorithms. _939234
650			_aMathematics of Computing. _939235
700			_aHonda, Katsuhiro. _939236
700			_aHuynh, Van-Nam. _939237
700			_aInuiguchi, Masahiro. _939238
700			_aKohda, Youji. _939239
700			_aLe, Bac. _939240
856			_uhttps://doi.org/10.1007/978-3-031-46781-3
942			_cEBK _2ddc
999			_c15855 _d15855