Regret Theory-Based Case-Retrieval Method with Multiple Heterogeneous Attributes and Incomplete Weight Information

Case retrieval is a crucial step in case-based reasoning (CBR), which is related to decision-making effectiveness. To improve decision support, CBR usually calculates case similarity and evaluates utility. However, the psychological behavior of decision makers is seldom considered in case retrieval....

תיאור מלא

שמור ב:
מידע ביבליוגרפי
Main Authors: Kai Zhang, Ying-Ming Wang, Jing Zheng
פורמט: Artigo
שפה:Inglês
יצא לאור: Springer 2021-03-01
סדרה:International Journal of Computational Intelligence Systems
נושאים:
Case retrieval
Regret theory
Multiple heterogeneous attributes
Incomplete weight information
Mathematical programming
גישה מקוונת:https://www.atlantis-press.com/article/125953460/view
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