{"doi":"10.1109/summa60232.2023.10349435","title":"Weighted Alternative Coefficient of Concordance","abstract":null,"journal":"2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)","year":2023,"id":637114,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1654068,"name":"Artem Miroshnikov","orcid":null,"position":1,"is_corresponding":false},{"id":1654066,"name":"Yuri V. Lubenets","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Weighted Alternative Coefficient of Concordance","abstract":"When conducting expert surveys, evaluation their consistency plays an important role. The Kendall’s coefficient of concordance is most often used for this purpose. Along with it, an alternative coefficient of concordance can be used, which has some advantages. For cases where it is necessary to take into account the importance of the opinions of certain experts, you can use a weighted alternative coefficient of concordance, which is introduced here. Examples of using this coefficient to assess the consistency of expert opinions are shown. The use of weighted coefficient of concordance allows, in certain cases, to increase the assessment of expert agreement.","is_dataset_classified":null,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19767382","pmcid":null,"openalex_id":"https://openalex.org/W4389779074","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.27666729,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":"https://doi.org/10.15223/policy-029","oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/10349344/10349346/10349435.pdf?arnumber=10349435","host_type":"publisher"},{"url":"http://dx.doi.org/10.1109/summa60232.2023.10349435","host_type":""}],"fields_of_study":["Rough Sets and Fuzzy Logic","Bayesian Modeling and Causal Inference","Advanced Statistical Methods and Models","Mathematics"],"mesh_terms":[],"keywords":["Concordance","Concordance correlation coefficient","Statistics","Computer science","Mathematics","Medicine"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-06T18:19:37.673820Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}