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....

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Bibliografiske detaljer
Main Authors: Kai Zhang, Ying-Ming Wang, Jing Zheng
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2021-03-01
Serier:International Journal of Computational Intelligence Systems
Fag:
Case retrieval
Regret theory
Multiple heterogeneous attributes
Incomplete weight information
Mathematical programming
Online adgang:https://www.atlantis-press.com/article/125953460/view
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