{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9"],"submitter":["Shen C"],"pubmed_abstract":["By controlling the benefits and drawbacks of informatization construction (IC) and development, evaluating the level of education informatization (EI) development can aid in university administration and decision-making. This work develops an evaluation method for the University Information Construction (UIC) based on the Analytical Hierarchy Process (AHP) and the Particle Swarm Optimization-based back-Propagation Neural Network (PSO-BPNN) algorithm to address the fuzziness issue in grade evaluation in the IC. Firstly, a set of data-driven evaluation index systems of the UIC effect is constructed with 16 second-class indicators and four first-class indicators of infrastructure, resource management, information management, and safeguard measures. The AHP method is used to determine the weig"],"journal":["PeerJ. Computer science"],"pagination":["e1327"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10280409"],"repository":["biostudies-literature"],"pubmed_title":["Evaluation scheme design of college information construction based on a combined algorithm."],"pmcid":["PMC10280409"],"pubmed_authors":["Fang J","Shen C","Shi Y"],"additional_accession":[]},"is_claimable":false,"name":"Evaluation scheme design of college information construction based on a combined algorithm.","description":"By controlling the benefits and drawbacks of informatization construction (IC) and development, evaluating the level of education informatization (EI) development can aid in university administration and decision-making. This work develops an evaluation method for the University Information Construction (UIC) based on the Analytical Hierarchy Process (AHP) and the Particle Swarm Optimization-based back-Propagation Neural Network (PSO-BPNN) algorithm to address the fuzziness issue in grade evaluation in the IC. Firstly, a set of data-driven evaluation index systems of the UIC effect is constructed with 16 second-class indicators and four first-class indicators of infrastructure, resource management, information management, and safeguard measures. The AHP method is used to determine the weig","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023","modification":"2025-04-05T13:54:17.415Z","creation":"2025-02-19T03:56:02.129Z"},"accession":"S-EPMC10280409","cross_references":{"pubmed":["37346572"],"doi":["10.7717/peerj-cs.1327"]}}