Using SMAA-2 method with dependent uncertainties for strategic forest planning

Kangas, Annika; Kangas, Jyrki; Lahdelma, Risto; Salminen, Pekka

doi:10.1016/j.forpol.2005.03.012

Cited by 46 publications

(25 citation statements)

References 18 publications

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“…The finalists were chosen by the help of SMAA-2 [24]. Lahdelma and Salminen used the method with the data of a former decision problem of constructing a new cargo harbor in Helsinki, which was solved by utilizing another decision-making method [23], and Kangas et al have shown how SMAA-2 works on strategic forest planning [25].…”

Section: Air Pollutantsmentioning

confidence: 99%

Ranking Turkish Cities and Regions for Air Quality Using a Multi-Criteria Decision-Making Method

Arı¹,

Özköse²,

Gencer³

2016

Pol. J. Environ. Stud.

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Section: Air Pollutantsmentioning

confidence: 99%

Ranking Turkish Cities and Regions for Air Quality Using a Multi-Criteria Decision-Making Method

Arı¹,

Özköse²,

Gencer³

2016

Pol. J. Environ. Stud.

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“…For instance, SMAA-2 [113] has been used for stochastic multi-criteria decisions with multiple decisionmakers and SMAA-O [114] for treating both ordinal and cardinal criteria. SMAA-O has also been applied to ecosystem management planning [115,116], whereas SMAA-2 has been used in participatory forest planning [117] and dealing with dependent uncertainties in forest planning [22].…”

Section: Stochastic Multi-criteria Acceptability Analysis (Smaa)mentioning

confidence: 99%

“…Information is also required about prices of timber, and costs of forest management options. Finally, information is required about values, opinions and preferences of decisionmakers and other stakeholders" [22].…”

Section: Case Study Materialsmentioning

confidence: 99%

“…Active participation, on the contrary, allows stakeholders to modify the process. If stakeholders' influence is minimal, the motivation to participate in the process decreases [22]. Active participation of locals could provide reliable knowledge [135], which might not be the case if participation does not permit open discussion and modification of the process.…”

Section: Evaluation Criteria To Analyze the Casesmentioning

confidence: 99%

“…The benefits of the mixed hybrid methods are significant in ambiguous situations with conflicting goals of different stakeholders, when the relevant criteria and the decision alternatives might be difficult to find [11]. Hybrid methods support a comprehensive problem structuring and enhance participation without neglecting solution orientation [10,[21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Decision Support in Assessing the Sustainable Use of Forests and Other Natural Resources - A Comparative Review

Myllyviita¹,

Hujala²,

Kangas³

et al. 2011

TOFSCIJ

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Various decision support methods are used to support the sustainable use of natural resources, but there is little evidence about these methods' actual performances. In this study, 35 carefully selected papers assessing the sustainable use of natural resources were evaluated. The evaluated papers utilized one of the following methods: optimization, costbenefit analysis (CBA) and monetary valuation methods, multi-criteria decision analysis (MCDA) or hybrid approaches. Each method supported sustainability in a different manner. Optimization and CBA case studies rarely involved stakeholders and social sustainability was less processed. Monetary valuation case studies showed a regular participation of the general public, but in a passive role. Experts and stakeholders with an active role were typical participants in MCDA and hybrid case studies. Internationally and nationally defined indicators of sustainability were scarcely used because indicators were frequently defined by stakeholders or the authors of the studied papers. It was presumed that international and national indicators were unsuitable for local use. Sustainability indicators typically took both the quantitative and qualitative form, including gaps and uncertainties. MCDA could be a suitable method for assessing sustainability because it has no strict requirements on the form of the data, and the participation of stakeholders is comprehensive. For the problem structuring phase, however, MCDA might not provide efficient tools. The ideal method for assessing the sustainable use of natural resources could be a hybrid of two methods with different approaches: qualitative methods could be used in the problem structuring process, whereas quantitative methods could be used when priorities and thresholds are assessed.

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A stochastic multicriteria model for evidence‐based decision making in drug benefit‐risk analysis

Tervonen

Valkenhoef

Buskens

et al. 2011

Statistics in Medicine

130

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Drug benefit‐risk (BR) analysis is based on firm clinical evidence regarding various safety and efficacy outcomes. In this paper, we propose a new and more formal approach for constructing a supporting multi‐criteria model that fully takes into account the evidence on efficacy and adverse drug reactions. Our approach is based on the stochastic multi‐criteria acceptability analysis methodology, which allows us to compute the typical value judgments that support a decision, to quantify decision uncertainty, and to compute a comprehensive BR profile. We construct a multi‐criteria model for the therapeutic group of second‐generation antidepressants. We assess fluoxetine and venlafaxine together with placebo according to incidence of treatment response and three common adverse drug reactions by using data from a published study. Our model shows that there are clear trade‐offs among the treatment alternatives. Copyright © 2011 John Wiley & Sons, Ltd.

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Using SMAA-2 method with dependent uncertainties for strategic forest planning

Cited by 46 publications

References 18 publications

Ranking Turkish Cities and Regions for Air Quality Using a Multi-Criteria Decision-Making Method

Ranking Turkish Cities and Regions for Air Quality Using a Multi-Criteria Decision-Making Method

Decision Support in Assessing the Sustainable Use of Forests and Other Natural Resources - A Comparative Review

A stochastic multicriteria model for evidence‐based decision making in drug benefit‐risk analysis

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