{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T12:28:56Z","timestamp":1751891336385},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T00:00:00Z","timestamp":1641427200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T00:00:00Z","timestamp":1641427200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s13042-021-01460-z","type":"journal-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T21:11:51Z","timestamp":1641503511000},"page":"1475-1492","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A fuzzy system with common linear-term consequents equivalent to FLNN and GMM"],"prefix":"10.1007","volume":"13","author":[{"given":"Yuanpeng","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Guanjin","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Fu-lai","family":"Chung","sequence":"additional","affiliation":[]},{"given":"Shitong","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,6]]},"reference":[{"issue":"1","key":"1460_CR1","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/TSMCB.2005.852472","volume":"36","author":"AH Sonbol","year":"2006","unstructured":"Sonbol AH, Fadali MS (2006) TSK fuzzy systems types II and III stability analysis: continuous case. IEEE Trans Syst Man Cybern Part B (Cybern) 36(1):2\u201312","journal-title":"IEEE Trans Syst Man Cybern Part B (Cybern)"},{"issue":"1","key":"1460_CR2","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1109\/TSMCB.2005.856715","volume":"36","author":"KH Quah","year":"2006","unstructured":"Quah KH, Quek C (2006) FITSK: online local learning with generic fuzzy input Takagi\u2013Sugeno\u2013Kang fuzzy framework for nonlinear system estimation. IEEE Trans Syst Man Cybern Part B (Cybern) 36(1):166\u2013178","journal-title":"IEEE Trans Syst Man Cybern Part B (Cybern)"},{"key":"1460_CR3","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.3016225","author":"J Li","year":"2020","unstructured":"Li J, Liu Z, Li C, Zheng Z (2020) Improved artificial immune system algorithm for type-2 fuzzy flexible job shop scheduling problem. IEEE Trans Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2020.3016225","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1460_CR4","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2021.3053315","author":"Z Zhang","year":"2021","unstructured":"Zhang Z, Dong J (2021) A Novel H\u221e control for T-S fuzzy systems with membership functions online optimization learning. IEEE Trans Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2021.3053315","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1460_CR5","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2021.3062691","author":"J Wang","year":"2021","unstructured":"Wang J et al (2021) Manifold-regularized multitask fuzzy system modeling with low-rank and sparse structures in consequent parameters. IEEE Trans Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2021.3062691","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"1460_CR6","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1007\/s13042-017-0733-1","volume":"10","author":"S Mirzajani","year":"2019","unstructured":"Mirzajani S, Aghababa MP, Heydari A (2019) Adaptive control of nonlinear fractional-order systems using T-S fuzzy method. Int J Mach Learn Cybern 10(3):527\u2013540","journal-title":"Int J Mach Learn Cybern"},{"issue":"2","key":"1460_CR7","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1109\/TCYB.2018.2872800","volume":"50","author":"G Wang","year":"2020","unstructured":"Wang G, Lu J, Choi K, Zhang G (2020) A transfer-based additive LS-SVM classifier for handling missing data. IEEE Trans Cybern 50(2):739\u2013752","journal-title":"IEEE Trans Cybern"},{"issue":"7","key":"1460_CR8","doi-asserted-by":"crossref","first-page":"1527","DOI":"10.1109\/TSMC.2017.2759090","volume":"49","author":"G Wang","year":"2019","unstructured":"Wang G, Zhang G, Choi K, Lu J (2019) Deep additive least squares support vector machines for classification with model transfer. IEEE Trans Syst Man Cybern Syst 49(7):1527\u20131540","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"2","key":"1460_CR9","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1109\/TFUZZ.2018.2857725","volume":"27","author":"H Zuo","year":"2019","unstructured":"Zuo H, Lu J, Zhang G, Liu F (2019) Fuzzy transfer learning using an infinite gaussian mixture model and active learning. IEEE Trans Fuzzy Syst 27(2):291\u2013303","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1460_CR10","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/2.144401","volume":"25","author":"YH Pao","year":"1992","unstructured":"Pao YH, Takefuji Y (1992) Functional-link net computing: theory, system architecture, and functionalities. Computer 25:76\u201379","journal-title":"Computer"},{"key":"1460_CR11","doi-asserted-by":"crossref","DOI":"10.1007\/978-94-009-5897-5","volume-title":"Finite mixture distributions","author":"BS Everitt","year":"1981","unstructured":"Everitt BS, Hand DJ (1981) Finite mixture distributions. Chapman and Hall, London"},{"issue":"2","key":"1460_CR12","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1162\/neco.1991.3.2.246","volume":"3","author":"J Park","year":"1991","unstructured":"Park J, Sandberg IW (1991) Universal approximation using radial-basis function networks. Neural Comput 3(2):246\u2013257","journal-title":"Neural Comput"},{"issue":"10","key":"1460_CR13","doi-asserted-by":"crossref","first-page":"6698","DOI":"10.1109\/TWC.2017.2728530","volume":"16","author":"J Zhang","year":"2017","unstructured":"Zhang J, Cabric D, Wang F, Zhong Z (2017) Cooperative modulation classification for multipath fading channels via expectation-maximization. IEEE Trans Wirel Commun 16(10):6698\u20136711","journal-title":"IEEE Trans Wirel Commun"},{"key":"1460_CR14","unstructured":"LichtenbergJM, \u015eim\u015fek \u00d6 (2017) Simple regression model. In: Proceedings of the NIPS 2016 workshop on imperfect decision makers, PMLR 58, pp 13\u201325"},{"issue":"11","key":"1460_CR15","doi-asserted-by":"crossref","first-page":"2176","DOI":"10.1109\/TFUZZ.2019.2895572","volume":"27","author":"P Xu","year":"2019","unstructured":"Xu P et al (2019) Concise fuzzy system modeling integrating soft subspace clustering and sparse learning. IEEE Trans Fuzzy Syst 27(11):2176\u20132189","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"5","key":"1460_CR16","doi-asserted-by":"crossref","first-page":"1207","DOI":"10.1109\/TFUZZ.2016.2604003","volume":"25","author":"T Zhou","year":"2017","unstructured":"Zhou T, Chung F, Wang S (2017) Deep TSK fuzzy classifier with stacked generalization and triplely concise interpretability guarantee for large data. IEEE Trans Fuzzy Syst 25(5):1207\u20131221","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1460_CR17","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.3022574","author":"B Qin","year":"2020","unstructured":"Qin B, Nojima Y, Ishibuchi H, Wang S (2020) Realizing deep high-order TSK fuzzy classifier by ensembling interpretable zero-order TSK fuzzy subclassifiers. IEEE Trans Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2020.3022574","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"1460_CR18","doi-asserted-by":"crossref","first-page":"1535","DOI":"10.1109\/TFUZZ.2017.2729507","volume":"26","author":"Y Zhang","year":"2018","unstructured":"Zhang Y, Ishibuchi H, Wang S (2018) Deep Takagi\u2013Sugeno\u2013Kang fuzzy classifier with shared linguistic fuzzy rules. IEEE Trans Fuzzy Syst 26(3):1535\u20131549","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"6","key":"1460_CR19","doi-asserted-by":"crossref","first-page":"8535","DOI":"10.3233\/JIFS-182561","volume":"37","author":"Y Zhang","year":"2019","unstructured":"Zhang Y, Chung FL, Wang S (2019) Takagi-sugeno-kang fuzzy systems with dynamic rule weights. J Intell Fuzzy Syst 37(6):8535\u20138550","journal-title":"J Intell Fuzzy Syst"},{"key":"1460_CR20","doi-asserted-by":"crossref","first-page":"5153","DOI":"10.1016\/j.ins.2007.06.030","volume":"177","author":"K Kilic","year":"2007","unstructured":"Kilic K, Uncu O, Turksen IB (2007) Comparison of different strategies of utilizing fuzzy clustering in structure identification. Inf Sci 177:5153\u20135162","journal-title":"Inf Sci"},{"issue":"2","key":"1460_CR21","doi-asserted-by":"crossref","first-page":"817","DOI":"10.1109\/TFUZZ.2017.2692203","volume":"26","author":"MS Yang","year":"2018","unstructured":"Yang MS, Nataliani Y (2018) A feature-reduction fuzzy clustering algorithm based on feature-weighted entropy. IEEE Trans Fuzzy Syst 26(2):817\u2013835","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"2","key":"1460_CR22","doi-asserted-by":"crossref","first-page":"640","DOI":"10.1109\/TFUZZ.2017.2687407","volume":"26","author":"J Wang","year":"2018","unstructured":"Wang J, Liu H, Qian X, Jiang Y, Deng Z, Wang S (2018) Cascaded hidden space feature mapping, fuzzy clustering, and nonlinear switching regression on large datasets. IEEE Trans Fuzzy Syst 26(2):640\u2013655","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"1460_CR23","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"J-SR Jang","year":"1993","unstructured":"Jang J-SR (1993) ANFIS: adaptive-network-based fuzzy inference systems. IEEE Trans Syst Man Cybern 23(3):665\u2013685","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"2","key":"1460_CR24","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1109\/TFUZZ.2004.840094","volume":"13","author":"J Leski","year":"2005","unstructured":"Leski J (2005) TSK-fuzzy modeling based on -insensitive learning. IEEE Trans Fuzzy Syst 13(2):181\u2013193","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"6","key":"1460_CR25","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1109\/TFUZZ.2016.2617377","volume":"25","author":"X Gu","year":"2017","unstructured":"Gu X, Chung F, Wang S (2017) Bayesian Takagi\u2013Sugeno\u2013Kang fuzzy classifier. IEEE Trans Fuzzy Syst 25(6):1655\u20131671","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"11","key":"1460_CR26","doi-asserted-by":"crossref","first-page":"2685","DOI":"10.1162\/089976600300014890","volume":"12","author":"D Husmeier","year":"2000","unstructured":"Husmeier D (2000) The Bayesian evidence scheme for regularizing probability-density estimating neural networks. Neural Comput 12(11):2685\u20132717","journal-title":"Neural Comput"},{"issue":"9","key":"1460_CR27","doi-asserted-by":"crossref","first-page":"1460","DOI":"10.1109\/LGRS.2013.2295326","volume":"11","author":"L Zhang","year":"2014","unstructured":"Zhang L, Li HL, Qiao ZJ, Xu ZW (2014) A fast bp algorithm with wavenumber spectrum fusion for high-resolution spotlight SAR imaging. IEEE Geosci Remote Sens Lett 11(9):1460\u20131464","journal-title":"IEEE Geosci Remote Sens Lett"},{"issue":"3","key":"1460_CR28","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1109\/TCSII.2005.858494","volume":"53","author":"S-S Yang","year":"2006","unstructured":"Yang S-S, Ho C-L, Lee C-M (2006) HBP: improvement in BP algorithm for an adaptive MLP decision feedback equalizer. IEEE Trans Circuits Syst II Express Briefs 53(3):240\u2013244","journal-title":"IEEE Trans Circuits Syst II Express Briefs"},{"issue":"5","key":"1460_CR29","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1109\/4234.1001666","volume":"6","author":"J Chen","year":"2002","unstructured":"Chen J, Fossorier MPC (2002) Density evolution for two improved BP-Based decoding algorithms of LDPC codes. IEEE Commun Lett 6(5):208\u2013210","journal-title":"IEEE Commun Lett"},{"key":"1460_CR30","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1007\/s00521-009-0288-5","volume":"19","author":"S Dehuri","year":"2010","unstructured":"Dehuri S, Cho S-B (2010) A comprehensive survey on functional link neural networks and an adaptive PSO\u2013BP learning for CFLNN. Neural Comput Appl 19:187\u2013205","journal-title":"Neural Comput Appl"},{"issue":"3","key":"1460_CR31","first-page":"298","volume":"33","author":"YMM Hassim","year":"2012","unstructured":"Hassim YMM, Ghazali R (2012) Training a functional link neural network using an artificial bee colony for solving a classification problems. Zool Res 33(3):298\u2013303","journal-title":"Zool Res"},{"key":"1460_CR32","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1080\/03081070500065726","volume":"34","author":"I-A Abu-Mahfouz","year":"2005","unstructured":"Abu-Mahfouz I-A (2005) A comparative study of three artificial neural networks for the detection and classification of gear faults. Int J Gen Syst 34:261\u2013277","journal-title":"Int J Gen Syst"},{"key":"1460_CR33","unstructured":"Haring S, Kok J (1995) Finding functional links for neural networks by evolutionary computation. In: Van de Merckt T et al (eds) BENELEARN1995, proceedings of the fifth Belgian\u2013Dutch conference on machine learning, Brussels"},{"issue":"1","key":"1460_CR34","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1109\/TSMC.2016.2577558","volume":"47","author":"Y Jiang","year":"2017","unstructured":"Jiang Y, Deng Z, Chung F, Wang S (2017) Realizing two-view TSK fuzzy classification system by using collaborative learning. IEEE Trans Syst Man Cybern Syst 47(1):145\u2013160","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"issue":"4","key":"1460_CR35","doi-asserted-by":"crossref","first-page":"813","DOI":"10.1109\/TFUZZ.2014.2328014","volume":"23","author":"Z Deng","year":"2015","unstructured":"Deng Z, Cao L, Jiang Y, Wang S (2015) Minimax probability TSK fuzzy system classifier: a more transparent and highly interpretable classification model. IEEE Trans Fuzzy Syst 23(4):813\u2013826","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1460_CR36","volume-title":"Advanced engineering mathematics","author":"E Kreyzig","year":"1993","unstructured":"Kreyzig E (1993) Advanced engineering mathematics, 7th edn. Wiley, Singapore","edition":"7"},{"key":"1460_CR37","volume-title":"Multivariate analysis","author":"KV Mardia","year":"1979","unstructured":"Mardia KV, Kent JT, Bibby JM (1979) Multivariate analysis. Academic, New York"},{"issue":"11","key":"1460_CR38","doi-asserted-by":"crossref","first-page":"2834","DOI":"10.1109\/TSP.2018.2818081","volume":"66","author":"J Zeng","year":"2018","unstructured":"Zeng J, Yin W (2018) On nonconvex decentralized gradient descent. IEEE Trans Signal Process 66(11):2834\u20132848","journal-title":"IEEE Trans Signal Process"},{"key":"1460_CR39","doi-asserted-by":"crossref","first-page":"677","DOI":"10.1016\/j.asoc.2014.04.001","volume":"21","author":"S Wang","year":"2014","unstructured":"Wang S, Chung F, Wu J, Wang J (2014) Least learning machine and its experimental studies on regression capability. Appl Soft Comput 21:677\u2013684","journal-title":"Appl Soft Comput"},{"key":"1460_CR40","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.asoc.2015.07.040","volume":"37","author":"S Wang","year":"2015","unstructured":"Wang S, Jiang Y, Chung F, Qian P (2015) Feedforward kernel neural networks, generalized least learning machine, and its deep learning with application to image classification. Appl Soft Comput 37:125\u2013141","journal-title":"Appl Soft Comput"},{"issue":"2","key":"1460_CR41","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1109\/TSMCB.2004.842257","volume":"35","author":"H Ishibuchi","year":"2005","unstructured":"Ishibuchi H, Yamamoto T, Nakashima T (2005) Hybridization of fuzzy GBML approaches for pattern classification problems. IEEE Trans Syst Man Cybern B Cybern 35(2):359\u2013365","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"issue":"2","key":"1460_CR42","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1109\/TFUZZ.2012.2215331","volume":"21","author":"H Ishibuchi","year":"2013","unstructured":"Ishibuchi H, Mihara S, Nojima Y (2013) Parallel distributed hybrid fuzzy GBML models with rule set migration and training data rotation. IEEE Trans Fuzzy Syst 21(2):355\u2013368","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"1460_CR43","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1109\/TFUZZ.2004.825972","volume":"12","author":"M del Jesus","year":"2004","unstructured":"del Jesus M, Hoffmann F, Navascues L, Sanchez L (2004) Induction of fuzzy-rule-based classifiers with evolutionary boosting algorithms. IEEE Trans Fuzzy Syst 12(3):296\u2013308","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1460_CR44","unstructured":"ChangC-C, Lin C-J (2005) LIBSVM: a library for support vector machines. [Online]. http:\/\/www.csie.ntu.edu.tw\/\u223ccjlin\/libsvm"},{"key":"1460_CR45","doi-asserted-by":"crossref","first-page":"107836","DOI":"10.1016\/j.patcog.2021.107836","volume":"114","author":"H Asheri","year":"2021","unstructured":"Asheri H, Hosseini R, Araabi BN (2021) A new EM algorithm for flexibly tied GMMs with large number of components. Pattern Recognit 114:107836","journal-title":"Pattern Recognit"},{"issue":"2","key":"1460_CR46","first-page":"255","volume":"17","author":"J Alcal-Fdez","year":"2011","unstructured":"Alcal-Fdez J, Fernndez A, Luengo J, Derrac J, Garca S, Snchez L, Herrera F (2011) KEEL data-mining software tool: data set repository integration of algorithms and experimental analysis framework. J Mult Valued Logic Soft Comput 17(2):255\u2013287","journal-title":"J Mult Valued Logic Soft Comput"},{"issue":"6","key":"1460_CR47","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1109\/TFUZZ.2016.2617377","volume":"25","author":"X Gu","year":"2017","unstructured":"Gu X, Wang F, Wang S (2017) Bayesian Takagi\u2013Sugeno\u2013Kang fuzzy classifier. IEEE Trans Fuzzy Syst 25(6):1655\u20131671","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1460_CR48","first-page":"1","volume":"7","author":"J Demar","year":"2006","unstructured":"Demar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1\u201330","journal-title":"J Mach Learn Res"},{"key":"1460_CR49","doi-asserted-by":"crossref","first-page":"482","DOI":"10.1214\/aoms\/1177704575","volume":"33","author":"JL Hodges","year":"1962","unstructured":"Hodges JL, Lehmann EL (1962) Ranks methods for combination of independent experiments in analysis of variance. Ann Math Statist 33:482\u2013497","journal-title":"Ann Math Statist"},{"issue":"2","key":"1460_CR50","first-page":"65","volume":"6","author":"S Holm","year":"1979","unstructured":"Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6(2):65\u201370","journal-title":"Scand J Stat"},{"key":"1460_CR51","unstructured":"BacheK, Lichman M (2015) UCI machine learning repository [Online]. http:\/\/archive.ics.uci.edu\/ml"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-021-01460-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-021-01460-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-021-01460-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,7]],"date-time":"2022-04-07T08:50:28Z","timestamp":1649321428000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-021-01460-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,6]]},"references-count":51,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["1460"],"URL":"https:\/\/doi.org\/10.1007\/s13042-021-01460-z","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,6]]},"assertion":[{"value":"12 January 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 October 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}