<p>The purpose of evaluating the quality of a laser radar coal inventory monitoring system is to ensure its accuracy, efficiency, and reliability in managing coal stockpiles. The evaluation identifies whether the system can operate effectively in challenging environments, optimize inventory processes, and reduce costs. By assessing performance, cost-effectiveness, and integration capabilities, the evaluation helps enterprises select a system that improves operational efficiency, minimizes risks, and supports sustainable development, ultimately enhancing inventory management and decision-making in the coal industry. The quality evaluation of laser radar coal inventory monitoring system is multiple-attribute group decision-making (MAGDM) issue. Then, the TODIM and MABAC approaches were employed to address MAGDM. Intuitionistic fuzzy sets (IFSs) were used as a decision tool to represent uncertain data during the quality evaluation of a laser radar coal inventory monitoring system. In this study, the intuitionistic fuzzy TODIM-MABAC (IF-TODIM-MABAC) approach is developed to solve MAGDM with IFSs. Finally, numerical study for the quality evaluation of the laser radar coal inventory monitoring system is conducted to validate the proposed approach. The main contributions of this study are as follows: The TODIM-MABAC approach was enhanced with IFSs; The entropy approach is employed to obtain the weight values under IFSs; The IF-TODIM-MABAC approach is constructed to solve MAGDM under IFSs; Numerical example for the quality evaluation of the laser radar coal inventory monitoring system, along with several comparative analyses, is provided to validate the IF-TODIM-MABAC approach.</p>