27th Scientific Conference on Generative AI and Models Exploring in Future Education and Healthcare for Egyptian Institutions

An employee›s performance in any firm is greatly influenced by their knowledge and skills. For instance, an employee›s performance is mostly evaluated on a qualitative basis in tourism sector. The evaluator›s ability for making decisions depends on how he could determine different factors that includes vagueness, and imprecision. Any employee should get effective and efficient performance evaluations with the right ratings in order to be considered for growth, and development. As a result, the purpose of this work is to build a decision support evaluation system for hotel staff members who want to advance their careers. In this research, type-2 fuzzy set is suggested to extract expert thinking as it is able to handle vague and imprecise information. The suggested approach is demonstrated with a case study using an example. The results showed that the proposed type-2 fuzzy decision support system achieves better results than the type-1 fuzzy system.