As the name implies, Multi Criteria Decision Making Methods (MCDM_s) is a decision making tool that capable the selection of the most preferred choice in a context where several criteria apply simultaneously.  Primary purpose of this study is to examine the status of Multi Criteria Decision Making Methods (MCDM_s) in forest management. The study also aims to evaluate the strengths and weaknesses of each of MCDM_s. In this research MCD_s were evaluated with multi criteria. According to this, most practical methods of MCDM in forest management were selected. Then most criteria for the evaluating of MCDM were determined. Selections do with a team of forest management experts. AHP, FAHP, ANP, TOPSIS, VIKOR, WSM, DEA, Voting methods, PROMETHEE and ELECTRE were select for MCDM in forest management and Ease of using the method, Easily interpreted parameters, Ease of understanding the results, Ability of having detailed sensitivity analysis, Ability of using graphical design model, Ability of the team decision support, Ability of considering various constraints, Accuracy in determining the results and Velocity in the use of decision making method were determined as criteria for evaluation of MCDM_s. In the second phase of research, experts weighted MCDM methods relative to criteria for evaluation of MCDM_s with Likert scale. According to all criteria, AHP among the study methods is the optimal choice for decision making in forest management. Finally a SWOT analysis were done for better understand of results. Result show AHP method is not ideal multi-criteria optimization method. In other words, this method has some weaknesses. Most of the weaknesses linked to the use of experts. In case of non-professional experts in pairwise comparisons, weaknesses points are highlighted in using AHP.