<p>Underground spaces require adequate artificial lighting due to the absence of natural light, ensuring visibility, safety, and task performance for workers. However, the design of lighting systems is often overlooked, with limited research on lamp selection and arrangements. This research aims to assist in selecting suitable lamps for underground lighting systems by developing a MATLAB code utilizing the Multi-Criteria Decision Analysis (MCDA) technique. Given the numerous lamp-producing companies and the variety of models available in the market, the criteria considered include price, power, luminous flux, luminous efficiency, lifespan, color rendering index (CRI), correlated color temperature (CCT), and environmental resistance, with adjustable weights for each criterion. Then, the fuzzy TOPSIS method uses triangular fuzzy numbers to handle uncertainty in weight determination. Additionally, various configurations of lamps can be utilized to achieve effective illumination in subterranean environments. This study emphasized the importance of optimal lamp arrangement, modeling multiple scenarios using the DIAlux Evo 13 software. An underground mine was selected as the case study, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was applied to identify the top three lamp arrangement scenarios. The results of the simulation conducted in the case study revealed that the most effective lighting arrangements were ceiling-mounted staggered, wall-mounted left single-sided, and ceiling-mounted central single row. The framework and techniques proposed in this investigation could offer efficient illumination for underground spaces.</p>