The purpose of this study is to identify the criteria that are important for company owners operating in textile industry when selecting a manager. In order to determine these criteria, Multi-Criteria Decision Making (MCDM) techniques are uesd. In today's global and competitive market conditions, the selection of managers for company owners is a multivariate decision-making problem involving multiple criteria. In line with the purpose of the study, firstly, the criteria used in the selection of the managers were determined with a literature review. Four main criteria were determined by interviewing experts based on the determinant criteria. These criteria are determined as work experience, management skills, professional competence, and trust. These four criteria determined within the scope of the research were assessed by the company owners using linguistic variables. The weight of each criterion was determined by using the Fuzzy Analytical Hierarchy Process (FAHP) technique based on pairwise comparisons by means of linguistic variables. According to the results, it was determined that the most important criterion for manager selection in the textile industry is work experience. Then it was determined that trust, management skills, and professional competence came respectively. In the final stage of the implementation, a case study was performed using the fuzzy TOPSIS method and a sensitivity analysis and comparative comparison to check the robustness of the results. In order to test the validity of the proposed method, the decision problem is also analyzed with fuzzy EDAS and fuzzy SAW approaches. As a result, it has been determined that each method’s ranking result is similar and offers realistic solutions. From this perspective, the study presents a new model proposal to the literature as it uses the fuzzy EDAS and fuzzy SAW methods as well as the integrated fuzzy AHP and fuzzy TOPSIS methods in the selection of professional managers in textile industry. With the help of expert opinions in the textile sector, the study has shown that the selection of manager process can be easily solved with MCDM techniques and that the fuzzy TOPSIS method generates logical and reliable results