Development of a fuzzy decision support framework for complex multi‐attribute decision problems: A case study for the selection of skilful basketball players

Abstract

The selection of skilful players is a complicated process due to the problem criteria consisting of both qualitative and quantitative attributes as well as vague linguistic terms. This study seeks to develop a decision support framework for the selection of candidates eligible to become basketball players through the use of a fuzzy multi‐attribute decision making (MADM) algorithm. The proposed model is based on fuzzy analytic hierarchy process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The model was employed in the Youth and Sports Center of Mugla, Turkey, with the participation of seven junior basketball players aged between 7 and 14. In the present study, physical fitness measurement values and observation values of technical skills were utilized. FAHP was used to determine the weights of the criteria and the observation values of technical skills by decision makers. Physical fitness measurement values were converted to fuzzy values by using a fuzzy set approach. Subsequently, the overall ranking of the candidate players was determined by the TOPSIS method. Results were compared with human experts’ opinions. It is observed that the developed model is more reliable to be used in decision making. The model architecture and experimental results along with illustrative examples are further demonstrated in the study.

iSports: A web-oriented expert system for talent identification in soccer

“…In a recent paper, Ballı and Korukoglu (2014) proposed a framework that almost match our research, but they consider basketball players, evaluating physical and technical aspects and determining the overall ranking of the candidate players by Fuzzy method like Papić et al (2009). However, they do not use a web based approach.…”

Personnel selection using group fuzzy AHP and SAW methods

“…Yu, Zhang and Xu (2013) explored aggregation methods for preferential hesitant fuzzy elements and their application on representative personnel evaluation. Ballı and Korukoğlu (2014) used fuzzy AHP and TOPSIS to select skilful basketball players. Dadelo et al (2013) proposed 2 optimizing algorithms to select security guards.…”

Personnel Ranking and Selection Problem Solution by Application of KEMIRA Method

“…Two solutions were obtained for criterion X components x j priority features: (1, 5, 3, 6, 4, 2), (1, 3, 5, 6, 4, 2). Criterion Y components y i priority features were determined uniquely: (2, 4, 5, 3, 1, 7,6,8,9). Therefore, criteria X and Y components order was established respectively:…”

“…minimizing function (9) received as follows: (1, 3,5,6,2,4). Results for criterion Y components y j were the same as in (20).…”