Hosseinzadeh Lotfi, F.Allahviranloo, T.Pedrycz, W.Shahriari, M.Sharafi, H.Razipour, GhalehJough, S.2024-05-192024-05-1920231860-949Xhttps://doi.org/10.1007/978-3-031-44742-6_10https://hdl.handle.net/20.500.12713/4473This chapter introduces the Fuzzy MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) method. It begins by providing an overview of the MACBETH method, emphasizing its principles and applications in decision-making contexts. Then proceeds to outline the six-step algorithm of the MACBETH method, offering a comprehensive understanding of its systematic process. This algorithm serves as a guide for readers to grasp the practical implementation of MACBETH in evaluating alternatives based on multiple criteria. The fuzzy MACBETH method is discussed in detail, emphasizing its ability to handle uncertainty and vagueness in decision-making situations. To illustrate its practicality, the method is applied to choose a manager for the Research and Development (R&D) department of a company. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.eninfo:eu-repo/semantics/closedAccessBook Chapter11212572732-s2.0-8518467114510.1007/978-3-031-44742-6_10N/A