{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T20:56:39Z","timestamp":1775163399199,"version":"3.50.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2024YFE0202700"],"award-info":[{"award-number":["2024YFE0202700"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62576178"],"award-info":[{"award-number":["62576178"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U2433216"],"award-info":[{"award-number":["U2433216"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20231337"],"award-info":[{"award-number":["BK20231337"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postgraduate Research &amp; Practice Innovation Program of Jiangsu Province","award":["KYCX23_3393"],"award-info":[{"award-number":["KYCX23_3393"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Fuzzy Syst."],"published-print":{"date-parts":[[2026,4]]},"DOI":"10.1109\/tfuzz.2026.3652575","type":"journal-article","created":{"date-parts":[[2026,1,12]],"date-time":"2026-01-12T22:05:19Z","timestamp":1768255519000},"page":"1202-1216","source":"Crossref","is-referenced-by-count":0,"title":["A Knowledge-Guided Feature Fusion and Fuzzy Decision Integration Model for ECG-Based Cardiovascular Disease Diagnosis"],"prefix":"10.1109","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-4003-0680","authenticated-orcid":false,"given":"Yuepeng","family":"Chen","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5042-3261","authenticated-orcid":false,"given":"Shangce","family":"Gao","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Toyama, Toyama-shi, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2240-1572","authenticated-orcid":false,"given":"Jiaru","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5620-9362","authenticated-orcid":false,"given":"Tianyi","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-0869-9752","authenticated-orcid":false,"given":"Fan","family":"Fu","sequence":"additional","affiliation":[{"name":"Nantong First People&#x0027;s Hospital, Nantong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3180-7347","authenticated-orcid":false,"given":"Weiping","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Cardiovascular diseases","year":"2025"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2020.3000440"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-020-15432-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2017.2757953"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.06.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2021.3138986"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2942938"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2022.3159505"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-022-29153-3"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2910082"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2019.2911367"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2910342"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2023.3257022"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2023.111006"},{"key":"ref15","first-page":"2024","article-title":"Guiding masked representation learning to capture spatio-temporal relationship of electrocardiogram","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Na"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.22489\/CinC.2020.107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3073707"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2024.3460949"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.2981526"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2023.3235374"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107508"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2468589"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICHI.2018.00092"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-023-02396-3"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2018.2834390"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.2975152"},{"key":"ref27","first-page":"444","article-title":"Concrete autoencoders for differentiable feature selection and reconstruction","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","volume":"97","author":"Balin","year":"2019"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-46150-8_21"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.32614\/cran.package.rstg"},{"key":"ref31","first-page":"2021","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Kolesnikov"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0495-6"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-020-0386-x"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1166\/jmihi.2018.2442"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/DEPCOS-RELCOMEX.2006.38"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2022.3228267"},{"key":"ref37","first-page":"4004","article-title":"iTransformer: Inverted transformers are effective for time series forecasting","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Liu","year":"2024"},{"key":"ref38","first-page":"2023","article-title":"A time series is worth 64 words: Long-term forecasting with transformers","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Nie"},{"key":"ref39","first-page":"5268","article-title":"Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhang","year":"2023"},{"key":"ref40","first-page":"34209","article-title":"ModernTCN: A modern pure convolution structure for general time series analysis","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Luo","year":"2024"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1145"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2005.10.010"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2025.3583819"},{"key":"ref44","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lundberg","year":"2017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2025.108005"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.xcrm.2024.101875"}],"container-title":["IEEE Transactions on Fuzzy Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/91\/11466357\/11344806.pdf?arnumber=11344806","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T19:54:15Z","timestamp":1775159655000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11344806\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4]]},"references-count":46,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tfuzz.2026.3652575","relation":{},"ISSN":["1063-6706","1941-0034"],"issn-type":[{"value":"1063-6706","type":"print"},{"value":"1941-0034","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4]]}}}