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dc.contributor.authorEyvindson, Kyle
dc.contributor.authorHakanen, Jussi
dc.contributor.authorMönkkönen, Mikko
dc.contributor.authorJuutinen, Artti
dc.contributor.authorKarvanen, Juha
dc.date.accessioned2019-11-05T12:43:42Z
dc.date.available2019-11-05T12:43:42Z
dc.date.issued2019
dc.identifier.citationEyvindson, K., Hakanen, J., Mönkkönen, M., Juutinen, A., & Karvanen, J. (2019). Value of information in multiple criteria decision making : an application to forest conservation. <i>Stochastic Environmental Research and Risk Assessment</i>, <i>33</i>(11-12), 2007-2018. <a href="https://doi.org/10.1007/s00477-019-01745-4" target="_blank">https://doi.org/10.1007/s00477-019-01745-4</a>
dc.identifier.otherCONVID_33429179
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/66164
dc.description.abstractDeveloping environmental conservation plans involves assessing trade-offs between the benefits and costs of conservation. The benefits of conservation can be established with ecological inventories or estimated based on previously collected information. Conducting ecological inventories can be costly, and the additional information may not justify these costs. To clarify the value of these inventories, we investigate the multiple criteria value of information associated with the acquisition of improved ecological data. This information can be useful when informing the decision maker to acquire better information. We extend the concept of the value of information to a multiple criteria perspective. We consider value of information for both monetary and biodiversity criteria and do not assume any fixed budget limits. Two illustrative cases are used describe this method of evaluating the multiple criteria value of information. In the first case, we numerically evaluate the multiple criteria value of information for a single forest stand. In the second case, we present a forest planning case with four stands that describes the complex interactions between the decision maker’s preference information and the potential inventory options available. These example cases highlight the importance of examining the trade-offs when making conservation decisions. We provide a definition for the multiple criteria value of information and demonstrate the potential application when conservation issues conflict with monetary issues.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherSpringer Berlin Heidelberg
dc.relation.ispartofseriesStochastic Environmental Research and Risk Assessment
dc.rightsCC BY 4.0
dc.subject.otherkompromissit
dc.subject.otherBayesian decision theory
dc.subject.otherconservation planning
dc.subject.otherdecision analysis
dc.subject.otherinformation updating
dc.subject.otheroptimization
dc.subject.othersimulation
dc.subject.othertrade-offs
dc.titleValue of information in multiple criteria decision making : an application to forest conservation
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201911054720
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosInformaatioteknologian tiedekuntafi
dc.contributor.laitosMatematiikan ja tilastotieteen laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.contributor.laitosFaculty of Information Technologyen
dc.contributor.laitosDepartment of Mathematics and Statisticsen
dc.contributor.oppiaineEkologia ja evoluutiobiologiafi
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineTilastotiedefi
dc.contributor.oppiaineResurssiviisausyhteisöfi
dc.contributor.oppiaineEcology and Evolutionary Biologyen
dc.contributor.oppiaineMathematical Information Technologyen
dc.contributor.oppiaineStatisticsen
dc.contributor.oppiaineSchool of Resource Wisdomen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2007-2018
dc.relation.issn1436-3240
dc.relation.numberinseries11-12
dc.relation.volume33
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2019.
dc.rights.accesslevelopenAccessfi
dc.relation.grantnumber311877
dc.relation.grantnumber275329
dc.subject.ysopäätöksenteko
dc.subject.ysobayesilainen menetelmä
dc.subject.ysosimulointi
dc.subject.ysomonitavoiteoptimointi
dc.subject.ysokriteerit
dc.subject.ysometsiensuojelu
dc.subject.ysoluonnonsuojelu
dc.subject.ysooptimointi
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p8743
jyx.subject.urihttp://www.yso.fi/onto/yso/p17803
jyx.subject.urihttp://www.yso.fi/onto/yso/p4787
jyx.subject.urihttp://www.yso.fi/onto/yso/p32016
jyx.subject.urihttp://www.yso.fi/onto/yso/p7607
jyx.subject.urihttp://www.yso.fi/onto/yso/p18321
jyx.subject.urihttp://www.yso.fi/onto/yso/p11
jyx.subject.urihttp://www.yso.fi/onto/yso/p13477
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s00477-019-01745-4
dc.relation.funderSuomen Akatemiafi
dc.relation.funderSuomen Akatemiafi
dc.relation.funderAcademy of Finlanden
dc.relation.funderAcademy of Finlanden
jyx.fundingprogramProfilointi, SAfi
jyx.fundingprogramAkatemiahanke, SAfi
jyx.fundingprogramResearch profiles, AoFen
jyx.fundingprogramAcademy Project, AoFen
jyx.fundinginformationOpen access funding provided by University of Jyväskylä (JYU). The authors thank Jo Eidsvik for useful comments. This research was supported by the Academy of Finland (Grant Nos. 311877 and 275329) and is related to the thematic research area DEMO (Decision Analytics utilizing Causal Models and Multiobjective Optimization) of the University of Jyväskylä.


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