A Novel Unsupervised Capacity Identification Approach to Deal With Redundant Criteria in Multicriteria Decision Making Problems

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dc.contributor.authorPelegrina G.D.
dc.contributor.authorDuarte L.T.
dc.date.accessioned2024-11-01T06:13:09Z
dc.date.available2024-11-01T06:13:09Z
dc.date.issued2024
dc.description.abstract© 1993-2012 IEEE.The use of the Choquet integral in multicriteria decision making problems has gained attention in the last two decades. Despite of its usefulness, there is the issue of how to define the Choquet integral parameters, called capacity coefficients, specially the ones associated with coalitions of criteria. A possible approach to address this issue is based on unsupervised learning, which aims to define such parameters with the goal of mitigating undesirable effects provided by intercriteria relations. However, current unsupervised approaches present some drawbacks, as there is no guarantee that the parameters are equally prioritized in the learning procedure. In this paper, we propose a novel unsupervised capacity identification approach which ensures a fair learning for all parameters. Moreover, in comparison with the existing methods, our proposal is less complex in terms of optimization, as it is based on a linear formulation. Experimental results in both synthetic and real datasets attest the applicability of our proposal.
dc.identifier.doi10.1109/TFUZZ.2024.3476484
dc.identifier.issnNone
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/39683
dc.relation.ispartofIEEE Transactions on Fuzzy Systems
dc.rightsAcesso Restrito
dc.subject.otherlanguage2-additive capacity
dc.subject.otherlanguagechoquet integral
dc.subject.otherlanguagemulticriteria decision making
dc.subject.otherlanguageunsupervised capacity identification
dc.titleA Novel Unsupervised Capacity Identification Approach to Deal With Redundant Criteria in Multicriteria Decision Making Problems
dc.typeArtigo
local.scopus.citations0
local.scopus.eid2-s2.0-85207107013
local.scopus.subject'current
local.scopus.subject2-additive capacities
local.scopus.subjectChoquet integral
local.scopus.subjectIdentification approach
local.scopus.subjectIntegral parameters
local.scopus.subjectMulti-criteria decision making problems
local.scopus.subjectMulticriteria decision-making
local.scopus.subjectMulticriterion decision makings
local.scopus.subjectUndesirable effects
local.scopus.subjectUnsupervised capacity identification
local.scopus.updated2024-12-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85207107013&origin=inward
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