Multi-stage decision support system for evaluating visual energy performance certificate platforms

The energy performance certificate (EPC) has emerged as a pivotal instrument in the United Kingdom's drive for housing energy efficiency. This research presents a comprehensive evaluation of existing EPC platforms using a multi-stage decision support system. In response to the need for effective decision support systems, we propose a novel approach, namely the intuitionistic fuzzy criteria importance assessment (CIMAS)-alternative ranking order method accounting for two-step normalization (AROMAN) method. Through comparative analysis, the study assesses the effectiveness and functionality of various platforms in facilitating energy performance analysis for residential buildings. Among the evaluated platforms, the energy performance certificate visualization platform (EPCDescriptor) emerges as a standout performer, demonstrating superior capabilities in attribute-level analysis, real-time data insights, and strategic pathway visualization of EPC data. EPCDescriptor's unique strengths lie in its ability to provide granular insights into factors influencing EPC ratings, offer real-time data updates for informed decision-making, and visualize strategic pathways for enhancing energy efficiency. The platform stands out among alternatives by offering enhanced capabilities for discrepancy analysis, neighbourhood exploration, and the interpretation of EPC ratings in residential buildings. Furthermore, we present a comparative analysis, managerial implications, and theoretical limitations of the proposed intuitionistic fuzzy CIMAS-AROMAN method, offering valuable insights for stakeholders in the construction and energy sectors. The findings of this research contribute to the advancement of energy performance analysis tools.