TY - JOUR N2 - In modern society, people concern more about the evaluation of medical service quality. Evaluation of medical service quality is helpful for medical service providers to supervise and improve their service quality. Also, it will help the public to understand the situation of different medical providers. As a multi-criteria decision-making (MCDM) problem, evaluation of medical service quality can be effectively solved by aggregation operators in interval-valued q-rung dual hesitant fuzzy (IVq-RDHF) environment. Thus, this paper proposes interval-valued q-rung dual hesitant Maclaurin symmetric mean (IVq-RDHFMSM) operator and interval-valued q-rung dual hesitant weighted Maclaurin symmetric mean (IVq-RDHFWMSM) operator. Based on the proposed IVq-RDHFWMSM operator, this paper builds a novel approach to solve the evaluation problem of medical service quality including a criteria framework for the evaluation of medical service quality and a novel MCDM method. What’s more, aiming at eliminating the discordance between decision information and weight vector of criteria determined by decisionmakers (DMs), this paper proposes the concept of cross-entropy and knowledge measure in IVq-RDHF environment to extract weight vector from DMs’ decision information. Finally, this paper presents a numerical example of the evaluation of medical service for hospitals to illustrate the availability of the novel method and compares our method with other MCDM methods to demonstrate the superiority of our method. According to the comparison result, our method has more advantages than other methods. L1 - http://journals.pan.pl/Content/120828/art08.pdf L2 - http://journals.pan.pl/Content/120828 PY - 2021 IS - No 3 EP - 685 DO - 10.24425/acs.2021.138696 KW - interval-valued q-rung dual hesitant fuzzy set KW - Maclaurin symmetric mean operator KW - multi-criteria decision-making KW - aggregation operators A1 - Zhao, Butian A1 - Zhang, Runtong A1 - Xing, Yuping PB - Committee of Automatic Control and Robotics PAS VL - vol. 31 DA - 2021.09.27 T1 - Evaluation of medical service quality based on a novel multi-criteria decision-making method with unknown weighted information SP - 645 UR - http://journals.pan.pl/dlibra/publication/edition/120828 T2 - Archives of Control Sciences ER -