Decision Algorithm for Digital Media and Intangible-Heritage Digitalization Using Picture Fuzzy Combined Compromise for Ideal Solution in Uncertain Environments

Modern digital media requires digitalization to protect cultural traditions, languages, and artistic expressions meant for future generations. Implementing the best digitalization strategy remains difficult because of unpredictable technological advances, changing digital preservation standards, and financial constraints. This study deals with these intricate challenges through the establishment of the picture fuzzy combined compromise for ideal solution (PF-COCOFISO) decision-making approach. The proposed framework employs picture fuzzy sets (PFSs) to develop symmetrical fuzzy assessment tools that better manage systems operating in uncertain technological settings. This practical research analyzes digital heritage archive optimization by assessing various digitalization approaches regarding important criteria, including technological adaptability and preservation standards, levels of accessibility, cultural maintenance, security systems, and sustainability initiatives. Multiple conflicting criteria can be optimally managed through the PF-COCOFISO selection process, which improves decision-making reliability. This research establishes an operational method which allows cultural organizations and digital archivists and policymakers to achieve intangible heritage digital accessibility symmetry while preserving heritage through structured methods during unstable times.