When decision makers rely on large sets of if-then decision rules to guide complex choices, information overload quickly becomes a barrier to effective use. The Dominance-based Rough Set Approach (DRSA) is a widely used preference learning method whose primary output is a set of if-then decision rules incorporating preference orders over attributes and decision classes. Although effective for knowledge representation and classification, large rule sets can overwhelm decision makers and hinder interpretation. To address this challenge, this paper proposes a new decision graph model for visualising dominance based if-then decision rules. The construction process begins with a preprocessing phase that extracts a binary decision matrix from rule descriptions. To avoid generating nonexistent rules, this matrix may require transformation through column splitting or a combination of column splitting and ordering-based strategies. The transformed matrix is then used to build a directed acyclic decision graph in which nodes represent elementary conditions and decisions, and edges denote their logical relationships. Each path from the root to a decision node corresponds to a complete decision rule. The paper introduces the core concepts of decision graphs and presents algorithms for their construction, linearisation, and exploitation. Both linearisation and exploitation algorithms are based on the Breadth-First Search graph traversal algorithm. The approach is demonstrated using real-world cultural heritage data from Europe, and expert feedback indicates that decision graphs reduce cognitive effort, improve communication, and provide a clear and accessible complement to traditional textual and tabular representations of decision rules.
This paper explores the motivations, ritual practices, and cultural meanings of digital offerings on Chinese virtual memorials. Drawing on four years of online observation, auto-ethnography, and in-depth interviews, it finds digital offerings feature distinctive persistence, traceability, networked circulation and personalization. These affordances reshape mourning into an individualized, frequent, and flexible mediated practice, foregrounding mourner's agency. Their circulation transforms private grief into a networked relational practice that challenges the utilitarian logic of traditional rituals. In this process, digital offerings and virtual memorials function as collective coping mechanisms, enabling bereaved parents to form affective communities grounded in shared trauma. Meanwhile, they are embedded in the digital economy of symbolic goods, producing intersections between emotional expression, affective labor, and commercial logics. Overall, as a mediated relational practice, digital offerings facilitate self-healing and filial piety while fostering connective mourning and social support networks, offering new possibilities for emotional communication and relationship building in China.
