Feature Selection Combining Information Theory View and Algebraic View in the Neighborhood Decision System

Feature selection is one of the core contents of rough set theory and application. Since the reduction ability and classification performance of many feature selection algorithms based on rough set theory and its extensions are not ideal, this paper proposes a feature selection algorithm that combines the information theory view and algebraic view in the neighborhood decision system. First, the neighborhood relationship in the neighborhood rough set model is used to retain the classification information of continuous data, to study some uncertainty measures of neighborhood information entropy. Second, to fully reflect the decision ability and classification performance of the neighborhood system, the neighborhood credibility and neighborhood coverage are defined and introduced into the neighborhood joint entropy. Third, a feature selection algorithm based on neighborhood joint entropy is designed, which improves the disadvantage that most feature selection algorithms only consider information theory definition or algebraic definition. Finally, experiments and statistical analyses on nine data sets prove that the algorithm can effectively select the optimal feature subset, and the selection result can maintain or improve the classification performance of the data set.

Citizen engagement in co-creation of e-government services: a process theory view from a meta-synthesis approach

PurposeThe purpose of this study is to develop an in-depth understanding of the overall process of facilitating co-creation of e-government services, focusing on the government's role in fostering citizen engagement.Design/methodology/approachThis study conducted a meta-synthesis of qualitative case studies encompassing analyses on a case-specific level followed by syntheses on a cross-study level.FindingsThrough meta-synthesis, the study developed an integrated framework, the process theory view of enabling co-creation of e-government services, illustrating how co-creation could be initiated and facilitated by the government.Research limitations/implicationsBy providing critical insights into co-creation steps, the process theory view offers a holistic theoretical understanding of enabling co-creation by identifying factors driving and motivating governments to initiate co-creation activities, interpreting the prerequisites for co-creation and the importance of impact assessment.Practical implicationsThis study offers important implications for public authorities, administrators and policymakers by helping them enhance their knowledge base on the co-creation process to facilitate a higher level of collaboration between citizens and government for effective and efficient public service delivery through e-government.Originality/valueWhile it is widely acknowledged that citizen engagement is crucial for improving and transforming the development and delivery of e-government services, it is equally recognized as a challenging and complex task. Through a meta-synthesis of qualitative case studies, this study is one of the first to develop a process theory view for offering a holistic understanding and crucial insights for addressing the concerns over the co-creation of e-government services.