Optimizing Room Maintenance Factor Evaluation Using Fuzzy Logic Model

Effective room maintenance is critical for ensuring a healthy and safe indoor environment. However, evaluating the maintenance factor of a room can be a complex and subjective task, especially when multiple factors need to be considered. In this paper, we propose the application of a fuzzy logic model to optimize the evaluation of room maintenance factor. The model incorporates a set of linguistic variables and fuzzy rules to represent the imprecise and uncertain nature of the evaluation process. We demonstrate the effectiveness of the proposed model through a case study involving the evaluation of room maintenance factor in a healthcare facility. The results show that the fuzzy logic model can provide a more accurate and reliable evaluation of room maintenance factor than traditional methods. The proposed model has the potential to assist facility managers and maintenance personnel in making more informed decisions regarding room maintenance, leading to improved indoor air quality, energy efficiency, and occupant health and comfort.