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Research article2018Peer reviewedOpen access

Using uncertain preferential information from stakeholders to assess the acceptability of alternative forest management plans

Eyvindson, Kyle; Ohman, Karin; Nordstrom, Eva-Maria

Abstract

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.

Keywords

group decision making; pairwise comparisons; stochastic multicriteria acceptability analysis; stochastic preferences; stochastic programming

Published in

Journal of Multi-Criteria Decision Analysis
2018, Volume: 25, number: 1-2, pages: 43-52