{"id":"W7125413478","doi":"10.18280/mmep.121229","title":"Managing Partitioning Uncertainty and Transition Ambiguity in Fuzzy Time Series: A Robust IT2FCM-Markov Chain Approach","year":2025,"lang":"","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fuzzy logic; Ambiguity; Chain (unit); Robustness (evolution); Markov chain; Transition (genetics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002153542,0.0007424955,0.001054408,0.00110126,0.0007796342,0.001052621,0.0016445,0.001329494,0.001040074],"category_scores_gemma":[0.005334378,0.0005469866,0.001390131,0.0008979227,0.0009061412,0.001487569,0.001047947,0.001311017,0.0001510301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017459,"about_ca_system_score_gemma":0.001889592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03451416,"about_ca_topic_score_gemma":0.01820494,"domain_scores_codex":[0.9992812,0.0001971304,0.00004465849,0.0002162135,0.0001742887,0.00008648139],"domain_scores_gemma":[0.9976031,0.001567096,0.000297677,0.0001097298,0.0003414688,0.00008100049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002991403,0.00001324735,0.0009812869,0.00002248277,0.0000406756,0.00003705028,0.00005452306,0.9775407,0.0004593694,0.005666745,0.0001590618,0.01499493],"study_design_scores_gemma":[0.00000129691,0.000004221042,0.00009623883,0.000002309308,0.000004838,0.000004470281,0.000003239096,0.998078,0.0001001848,0.001650336,0.00005141502,0.000003387985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03350878,0.0002672072,0.9649698,0.0002194832,0.00002930807,0.00003670535,0.00006819818,0.0001704611,0.0007299811],"genre_scores_gemma":[0.874391,0.0002945606,0.1235255,0.0001217603,0.00006320859,0.0001313109,0.0002417849,0.00004909202,0.001181825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03451416,"threshold_uncertainty_score":0.06862652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599671761829795,"score_gpt":0.1908557712998726,"score_spread":0.1748590536815747,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}