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Summer sport schools have been gaining an importance especially for the children attending to primary or secondary schools in summer seasons. By these summer schools, the children can both have entertainment and learn new things. Due to the increasing demands for them, the number of summer sport schools has increased. Hence, selecting the best summer school has become a decision making problem. Therefore, in this paper, an analytical solution was proposed for this new problem. In the proposed approach, Hesitant Fuzzy AHP (HF-AHP), which is frequently used in literature in recent times, was used as integrated with TOPSIS. In the case study part of this proposed model, the importance weights of 4 main and 15 sub-criteria were determined via HF-AHP. The best summer sport school was selected among the 3 alternatives by using TOPSIS method. Furthermore, by performing sensitivity analysis, the effects of changes in criteria weights on the decision were investigated. [ABSTRACT FROM AUTHOR]

Supplier selection is very important for a company to be successful in a globalized competitive environment. The aims at choosing the optimal supplier; to increase customer satisfaction, improve the competitive ability and continue to exist at minimal cost. This study was intended to choose the most suitable raw material supplier in a company engaged in the production of agricultural tires. In the study Analytical Hierarchy Process (AHP) and Promethee I-II methods were applied in order to select the most optimal supplier to a company. In conclusion, AHP and Promethee I-II methods used by the company to determine the suppliers with the optimal supplier and brought several recommendations.* [ABSTRACT FROM AUTHOR]