Using uncertain preferential information from stakeholders to assess the acceptability of alternative forest management plans
Eyvindson, K., Öhman, K., & Nordström, E. (2018). Using uncertain preferential information from stakeholders to assess the acceptability of alternative forest management plans. Journal of Multi-Criteria Decision Analysis, 25(1-2), 43-52. https://doi.org/10.1002/mcda.1630
Published inJournal of Multi-Criteria Decision Analysis
© 2017 John Wiley & Sons. This is a final draft version of an article whose final and definitive form has been published by Wiley. Published in this repository with the kind permission of the publisher.
In forest management planning, participatory planning processes are often encouraged as a means to acquire relevant information and to enhance the stakeholders' acceptability of alternative plans. This requires the aggregation of the stakeholders' preferences that can be done in a wide variety of manners. The aggregation process strives to reduce the information into a single set of preferences that simplifies the information and allows for the use of discrete decision support tools. Depending on how the preferences are aggregated, a wide range of plan rankings can emerge. Although this range of ranking complicates the issue of plan selection, it does highlight the uncertainty involved in aggregating stakeholder preferences. In this study, we suggest an alternative method of deriving rankings for a set of alternative management options. Our proposed method suggests treating acquired preferences as the uncertain elements of a stochastic programming problem and the results provide the decision maker with the acceptability probability for each plan. The method is illustrated with a case of pairwise comparisons from a set of stakeholders representing preferences from different interest groups in a community planning process. ...
PublisherJohn Wiley & Sons Ltd.
ISSN Search the Publication Forum1057-9214
Publication in research information system
MetadataShow full item record
Related funder(s)Academy of Finland
Funding program(s)Academy Project, AoF
Additional information about fundingK. E. is grateful to the Academy of Finland (proj. 275329) for funding.
Showing items with similar title or keywords.
Complementary Judgment Matrix Method with Imprecise Information for Multicriteria Decision-Making Wang, Haichao; Lahdelma, Risto; Salminen, Pekka (Hindawi Publishing Corporation, 2018)The complementary judgment matrix (CJM) method is an MCDA (multicriteria decision aiding) method based on pairwise comparisons. As in AHP, the decision-maker (DM) can specify his/her preferences using pairwise comparisons, ...
Stochastic multicriteria evaluation of district heating systems considering the uncertainties Wang, Haichao; Lahdelma, Risto; Salminen, Pekka (Taylor and Francis Inc., 2018)It is of great importance to choose a suitable district heating (DH) system for a specific DH area from the economics, environment and energy (3E) points of view. This is a multicriteria decision making problem, in which ...
Multicriteria evaluation of carbon-neutral heat-only production technologies for district heating Kirppu, Heidi; Lahdelma, Risto; Salminen, Pekka (Pergamon, 2018)Climate change mitigation requires reducing dependence on fossil fuels and transition to low carbon energy production technologies. Nearly half of the global final energy consumption is thermal energy produced from ...
Multicriteria Decision Aiding for Planning Renewable Power Production at Moroccan Airports Menou, Abdellah; Lahdelma, Risto; Salminen, Pekka (MDPI AG, 2022)This study is about multicriteria decision aiding (MCDA) for the green airports program of the Moroccan Airport Authority ONDA. The goal of the program is to develop significant amounts of renewable power at airports. In ...
Interactive decision support and trade-off analysis for sustainable forest landscape planning under deep uncertainty Shavazipour, Babooshka; Podkopaev, Dmitry; Miettinen, Kaisa (Canadian Science Publishing, 2022)Sustainable environmental management often involves long-term time horizons, multiple conflicting objectives, and by nature, is affected by different sources of uncertainty. Many sources of uncertainty, such as climate ...