{"doi":"10.2991/eusflat.2013.119","title":"Ordinal Choquistic Regression","abstract":null,"journal":"Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology","year":2013,"id":21828,"datarank":0.9362340148713544,"base_score":2.9444389791664403,"endowment":2.9444389791664403,"self_citation_contribution":0.44166584687496613,"citation_network_contribution":0.4945681679963883,"self_endowment_contribution":0.44166584687496613,"citer_contribution":0.4945681679963883,"corpus_percentile":null,"corpus_rank":null,"citation_count":18,"citer_count":17,"citers_with_citation_signal":15,"citers_with_endowment":15,"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":139139,"name":"Eyke Huellermeier","orcid":null,"position":1,"is_corresponding":false},{"id":139138,"name":"Ali Fallah Tehrani","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":2.9444389791664403,"endowment":2.9444389791664403,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"21071399","pmcid":null,"openalex_id":"https://openalex.org/W2049466465","authors":[],"funders":[],"total_grants":0,"fwci":1.1578,"citation_percentile":0.77833582,"influential_citations":0,"citation_trend":[{"year":2015,"count":1},{"year":2016,"count":3},{"year":2017,"count":3},{"year":2020,"count":3},{"year":2022,"count":1},{"year":2023,"count":3},{"year":2024,"count":4}],"oa_status":"gold","license":"cc-by-nc","oa_locations":[{"url":"https://www.atlantis-press.com/article/8481.pdf","host_type":""},{"url":"https://www.atlantis-press.com/article/8481.pdf","host_type":"GOLD"},{"url":"https://www.atlantis-press.com/article/8481.pdf","host_type":""},{"url":"https://doi.org/10.2991/eusflat.2013.119","host_type":""},{"url":"https://epub.ub.uni-muenchen.de/91712/","host_type":"repository"}],"fields_of_study":["Spectroscopy and Chemometric Analyses","Advanced Statistical Methods and Models","Multi-Criteria Decision Making","Mathematics","Computer Science"],"mesh_terms":[],"keywords":["Logistic regression","Logistic model tree","Regression diagnostic","Ordinal regression","Proper linear model","Binomial regression","Cross-sectional regression","Segmented regression","Statistics","Ordered logit","Mathematics","Regression analysis","Multinomial logistic regression","Regression","Local regression","Computer science","Generalization","Nonlinear regression","Bayesian multivariate linear regression","Polynomial regression"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Reduced inequalities"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-06T16:55:25.717925Z","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":[]}