Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/60486
Share/Impact:
Title: A logical approach to case-based reasoning using fuzzy similarity relations
Authors: Plaza, Enric, Esteva, Francesc, García, Pere, Godo, Lluis, Lopez de Mantaras, Ramon
Issue Date: 1998
Publisher: Elsevier
Abstract: This article approaches the formalization of inference in Case-based Reasoning (CBR) systems. CBR systems infer solutions of new problems on the basis of a precedent case that is, to some extent, similar to the current problem. Using the logics developed for similarity-based inference we characterize CBR systems defining what we call the Precedent-based Plausible Reasoning (PPR) model. This model is based on the graded consequence relations named approximation entailment and proximity entailment. A modal interpretation is provided for the precedent-based inference where the plausibility is given by the graded possibility operator ◇α-The PPR model shows that both knowledge-intensive CBR systems and the nearest neighbor algorithms share a common core formalism and that their difference is on whether or not (respectively) they use a general theory in addition to the precedent cases. © 1998 Elsevier Science Inc. All rights reserved.
URI: http://hdl.handle.net/10261/60486
Identifiers: doi: null
issn: 0020-0255
???metadata.dc.identifier.doi???: null
Citation: Information Sciences 106: 105- 122 (1998)
Appears in Collections:(IIIA) Artículos
Files in This Item:
File Description SizeFormat 
accesoRestringido.pdf15,38 kBAdobe PDFView/Open
Show full item record
 
CSIC SFX LinksSFX Query

Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.