The main aim of this research was to quantify the parameters related to forest situation (according to DPSIR framework) using decision-making processes and fuzzy methods in the Zagros forests of Iran. In this study, the situation factors (e.g., socioeconomic, biophysical, and environmental factors) were evaluated by fuzzy analytic hierarchy process (FAHP) using \(\alpha\)-cuts in addition to the Chang method for fuzzy pairwise comparisons. The results of the study clearly illustrate that the decision-making process is the most important input in forest management planning in the Zagros forests, Iran. In such situations, decision-making techniques can be of great help in differentiating the factors influencing decision-making and policy-making for these forests. We found that \(\alpha\)-cuts could improve the quality of the decision-making process, but only after secondary analysis. Initially, we did not find any significant difference in the results between \(\alpha\)-cuts and research results, but using the differences in rankings, we could identify a significant difference. We propose that this method, which requires lengthy calculations to get the answer, should only be used by forest managers when the quality of the results and the difference between the parameters are very important to them; otherwise, they may be able to achieve the same desired results in a much easier way.

本研究的主要目的是在伊朗扎格罗斯森林中使用决策过程和模糊方法量化与森林状况相关的参数（根据 DPSIR 框架）。在这项研究中，除了用于模糊成对比较的 Chang 方法之外，还使用\(\alpha\) -cuts通过模糊层次分析法 (FAHP) 评估情况因素（例如，社会经济、生物物理和环境因素）。研究结果清楚地表明，决策过程是伊朗扎格罗斯森林管理规划中最重要的投入。在这种情况下，决策技术可以极大地帮助区分影响这些森林决策和政策制定的因素。我们发现\(\alpha\)-cuts 可以提高决策过程的质量，但只能经过二次分析。最初，我们没有发现\(\alpha\) -cuts 和研究结果之间的结果有任何显着差异，但是利用排名的差异，我们可以识别出显着差异。我们建议，这种方法需要长时间的计算才能得到答案，只有当结果的质量和参数之间的差异对他们非常重要时，森林管理者才应该使用这种方法；否则，他们可能能够以更简单的方式实现相同的预期结果。