Repository logo
 
Publication

A Multiple Criteria Decision Analysis Framework for Dispersed Group Decision-Making Contexts

2020Journal article Open access
Simple item page
dc.contributor.authorCarneiro, João
dc.contributor.authorMartinho, Diogo
dc.contributor.authorAlves, Patrícia
dc.contributor.authorConceição, Luís
dc.contributor.authorMarreiros, Goreti
dc.contributor.authorNovais, Paulo
dc.date.accessioned2022-01-11T15:55:51Z
dc.date.available2022-01-11T15:55:51Z
dc.date.issued2020
dc.description.abstractTo support Group Decision-Making processes when participants are dispersed is a complex task. The biggest challenges are related to communication limitations that impede decision-makers to take advantage of the benefits associated with face-to-face Group Decision-Making processes. Several approaches that intend to aid dispersed groups attaining decisions have been applied to Group Decision Support Systems. However, strategies to support decision-makers in reasoning, understanding the reasons behind the different recommendations, and promoting the decision quality are very limited. In this work, we propose a Multiple Criteria Decision Analysis Framework that intends to overcome those limitations through a set of functionalities that can be used to support decision-makers attaining more informed, consistent, and satisfactory decisions. These functionalities are exposed through a microservice, which is part of a Consensus-Based Group Decision Support System and is used by autonomous software agents to support decision-makers according to their specific needs/interests. We concluded that the proposed framework greatly facilitates the definition of important procedures, allowing decision-makers to take advantage of deciding as a group and to understand the reasons behind the different recommendations and proposals.pt_PT
dc.description.sponsorshipThis research was funded by the GrouPlanner Project (PTDC/CCI-INF/29178/2017) and by National Funds through the FCT—Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within the Projects UID/CEC/00319/2020, UID/EEA/00760/2020 and the Luís Conceição PhD grant with the reference SFRH/BD/137150/2018.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/app10134614pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/19401
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationUID/CEC/00319/2020pt_PT
dc.relationUID/EEA/00760/2020pt_PT
dc.relationArgumentation Dialogues in Web-based GDSS: an approach using Machine Learning Techniques
dc.relationSupporting Groups in Travel Planning Considering Social and Cultural Aspects
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/10/13/4614pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectGroup decision-makingpt_PT
dc.subjectConsensus reaching processespt_PT
dc.subjectConsensus support systemspt_PT
dc.subjectMulticriteria group decision-makingpt_PT
dc.subjectMultiple criteria decision analysispt_PT
dc.subjectMulti-agent systemspt_PT
dc.subjectMicroservicespt_PT
dc.titleA Multiple Criteria Decision Analysis Framework for Dispersed Group Decision-Making Contextspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleArgumentation Dialogues in Web-based GDSS: an approach using Machine Learning Techniques
oaire.awardTitleSupporting Groups in Travel Planning Considering Social and Cultural Aspects
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F137150%2F2018/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FCCI-INF%2F29178%2F2017/PT
oaire.citation.issue13pt_PT
oaire.citation.startPage4614pt_PT
oaire.citation.titleApplied Sciencespt_PT
oaire.citation.volume10pt_PT
oaire.fundingStream9471 - RIDTI
person.familyNameCarneiro
person.familyNameAlves
person.familyNameMarreiros
person.givenNameJoão
person.givenNamePatrícia
person.givenNameGoreti
person.identifier.ciencia-idAE10-74A4-9DC6
person.identifier.ciencia-idA412-138E-2389
person.identifier.orcid0000-0003-1430-5465
person.identifier.orcid0000-0003-3997-311X
person.identifier.orcid0000-0003-4417-8401
person.identifier.ridM-4583-2013
person.identifier.scopus-author-id9332465700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione6c3294b-e8d7-45ac-9303-f763b9257745
relation.isAuthorOfPublicationa19bccef-3188-4ef2-bacf-b0b2400b3cf0
relation.isAuthorOfPublicationf084569f-09f5-4d00-b759-aa4a5802f051
relation.isAuthorOfPublication.latestForDiscoveryf084569f-09f5-4d00-b759-aa4a5802f051
relation.isProjectOfPublicationed9ac139-b410-4cd6-a8e6-97ba7cc274bf
relation.isProjectOfPublication114f450f-0e77-4de7-b472-c43383f02723
relation.isProjectOfPublication.latestForDiscovery114f450f-0e77-4de7-b472-c43383f02723

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ART_GECAD_applsci_2020.pdf
Size:
2.4 MB
Format:
Adobe Portable Document Format
Download

Collections

ISEP – GECAD – Artigos