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Consistent Clustering of Elements in Large Pairwise Comparison Matrices

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Consistent Clustering of Elements in Large Pairwise Comparison Matrices

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Benítez López, J.; Carpitella, S.; Certa, A.; Ilaya-Ayza, AE.; Izquierdo Sebastián, J. (2018). Consistent Clustering of Elements in Large Pairwise Comparison Matrices. Journal of Computational and Applied Mathematics. 343:98-112. https://doi.org/10.1016/j.cam.2018.04.041

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/121417

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Title: Consistent Clustering of Elements in Large Pairwise Comparison Matrices
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
[EN] In multi-attribute decision making the number of decision elements under consideration may be huge, especially for complex, real-world problems. Typically these elements are clustered and then the clusters organized ...[+]
Subjects: Pairwise comparison , AHP , Miller's magic number seven , Water distribution system (WDS) , Management and operation of a WDS , Decision-making
Copyrigths: Embargado
Source:
Journal of Computational and Applied Mathematics. (issn: 0377-0427 )
DOI: 10.1016/j.cam.2018.04.041
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.cam.2018.04.041
Type: Artículo

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