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dc.contributor.authorAcosta González, María Montserrat
dc.contributor.authorCorral, Serafin
dc.date.accessioned2026-07-01T07:49:40Z
dc.date.available2026-07-01T07:49:40Z
dc.date.issued2017
dc.identifier.citationAcosta González, M. M. y Corral, S. (2017). Multicriteria decision analysis and participatory decision support systems in forest management. Forests, 8(4). https://doi.org/10.3390/f8040116es
dc.identifier.issn1999-4907
dc.identifier.urihttp://hdl.handle.net/20.500.12251/4871
dc.description.abstractGrowing concern about issues such as environmental quality or the sustainability of natural resources has led to the use of the Decision Support System (DSS), which originated in the business field, and is now part of environmental decision-making processes. The presence of environmental, social, or economic dimensions has helped decision support systems to evolve to be able to tackle investigations that can contemplate all these variables, such as in the case of multicriteria decision analyses. In addition, new lifestyles, in which society recognizes more and more the contribution of forests to its welfare, have led to the need to involve stakeholders in decision-making processes. This article presents a review of different Multicriteria Decision Analysis (MCDA) and participatory decision support systems applied to forest environments. This last point is presented from the perspective of stakeholder participation in the processes and from the point of view of procedures or tools used. To do this, some of the research performed in forest environments within this current century is reviewed. © 2017 by the authors.es
dc.language.isoenges
dc.publisherMDPI AGes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleMulticriteria decision analysis and participatory decision support systems in forest managementes
dc.typearticle
dc.identifier.doi10.3390/f8040116
dc.identifier.urlhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85017383734&doi=10.3390%2ff8040116&partnerID=40&md5=82d65bb42e9e21e6119e4bf26d3350d1
dc.issue.number4es
dc.journal.titleForestses
dc.rights.accessRightsopenAccesses
dc.subject.keywordSostenibilidades
dc.subject.keywordInteligencia Artificiales
dc.subject.keywordGestión forestal sosteniblees
dc.subject.keywordGestión ambientales
dc.subject.keywordColaboración ciudadanaes
dc.subject.unesco1203.04 Inteligencia Artificiales
dc.subject.unesco3308 Ingeniería y Tecnología del Medio Ambientees
dc.subject.unesco5312.03 Construcciónes
dc.subject.unesco3106 Ciencia Forestales
dc.volume.number8


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