An Approach to Developing the Multicriteria Optimal Forest Management Plan: The “Fruska Gora” National Park Case Study

Abstract

This paper proposes a decision-making framework that integrates Decision-Making Trial and Evaluation Laboratory (DEMATEL), Best-Worst (BW), and Ordered Weighted Averaging (OWA) methods in a forestry management problem. Namely, the application of the proposed framework has been shown in the case study area of the National Park “Fruska Gora” in Serbia. The decision-making problem included five criteria (biodiversity protection, wilderness protection, promotion of tourism, promotion of education function, and sustainable use of natural resources) and four alternatives—management plans (“business as usual”, “eco-tourism”, “protection of natural ecosystems” and “use of natural resources”). The results were focused on proclaiming a winning alternative in a multi-criteria context and have been tested for the different risk attitudes: risk-prone, risk-neutral, and risk-averse. For the risk-prone scenario, the winning alternative was “protection of natural ecosystems”, while the risk-neutral and risk-averse scenarios recognized “eco-tourism” as the winning alternative. The same procedure can be repeated for many other forest management tasks that require multiple criteria setting and risk attitude analysis.