{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T09:08:30Z","timestamp":1781168910625,"version":"3.54.1"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"11","license":[{"start":{"date-parts":[[2018,2,9]],"date-time":"2018-02-09T00:00:00Z","timestamp":1518134400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1007\/s13042-018-0783-z","type":"journal-article","created":{"date-parts":[[2018,2,9]],"date-time":"2018-02-09T15:12:52Z","timestamp":1518189172000},"page":"1785-1805","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":50,"title":["Parallel computing techniques for concept-cognitive learning based on granular computing"],"prefix":"10.1007","volume":"9","author":[{"given":"Jiaojiao","family":"Niu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenchen","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinhai","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Min","family":"Fan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2018,2,9]]},"reference":[{"key":"783_CR1","first-page":"20","volume":"12","author":"Ch Aswani Kumar","year":"2015","unstructured":"Aswani Kumar Ch, Ishwarya MS, Loo CK (2015) Formal concept analysis approach to cognitive functionalities of bidirectional associative memory. Biol Inspir Cogn Architect 12:20\u201333","journal-title":"Biol Inspir Cogn Architect"},{"issue":"4","key":"783_CR2","first-page":"319","volume":"2","author":"D Angluin","year":"1998","unstructured":"Angluin D (1998) Queries and concept learning. Mach Learn 2(4):319\u2013342","journal-title":"Mach Learn"},{"issue":"2","key":"783_CR3","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1109\/TKDE.2011.220","volume":"25","author":"HM Chen","year":"2013","unstructured":"Chen HM, Li TR, Ruan D et al (2013) A rough-set-based incremental approach for updating approximations under dynamic maintenance environments. IEEE Trans Knowl Data Eng 25(2):274\u2013284","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"783_CR4","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.ins.2017.02.037","volume":"396","author":"SM Dias","year":"2017","unstructured":"Dias SM, Vieira NJ (2017) A methodology for analysis of concept lattice reduction. Inform Sci 396:202\u2013217","journal-title":"Inform Sci"},{"key":"783_CR5","doi-asserted-by":"crossref","unstructured":"Duntsch I, Gediga G (2002) Modal-style operators in qualitative data analysis. In: Proceedings of the 2002 IEEE International Conference on Data Mining. Springer, Washington, DC, pp 155\u2013162","DOI":"10.1109\/ICDM.2002.1183898"},{"key":"783_CR6","volume-title":"Clustering and classification techniques for the biosciences","author":"AH Fielding","year":"2007","unstructured":"Fielding AH (2007) Clustering and classification techniques for the biosciences. Cambridge University Press, London"},{"key":"783_CR7","unstructured":"Frank A, Asuncion A (2010) UCI machine learning repository. University of California, School of Information and Computer Science, Irvine. \n                    http:\/\/archive.ics.uci.edu\/ml\n                    \n                  . Accessed 16 Sept 2010"},{"key":"783_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-59830-2","volume-title":"Formal concept analysis. Mathematical foundations","author":"B Ganter","year":"1999","unstructured":"Ganter B, Wille R (1999) Formal concept analysis. Mathematical foundations. Springer, Berlin"},{"key":"783_CR9","doi-asserted-by":"crossref","unstructured":"Ganter B, Kuznetsov SO (2008) Scale coarsening as feature selection. In: Proceeding of the 6th International Conference on Formal Concept Analysis. Montreal, Canada, pp 217\u2013228","DOI":"10.1007\/978-3-540-78137-0_16"},{"key":"783_CR10","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1016\/j.ijar.2017.01.009","volume":"83","author":"CC Huang","year":"2017","unstructured":"Huang CC, Li JH, Mei CL, Wu WZ (2017) Three-way concept learning based on cognitive operators: an information fusion viewpoint. Int J Approx Reason 83:218\u2013242","journal-title":"Int J Approx Reason"},{"key":"783_CR11","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1016\/j.ins.2014.04.006","volume":"279","author":"J Konecny","year":"2014","unstructured":"Konecny J, Osicka P (2014) Triadic concept lattices in the framework of aggregation structures. Inf Sci 279:512\u2013527","journal-title":"Inf Sci"},{"issue":"1\u20133","key":"783_CR12","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.dam.2003.11.002","volume":"142","author":"SO Kuznetsov","year":"2004","unstructured":"Kuznetsov SO (2004) Complexity of learning in concept lattices from positive and negative examples. Discr Appl Math 142(1\u20133):111\u2013125","journal-title":"Discr Appl Math"},{"key":"783_CR13","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1007\/978-3-642-38317-5_17","volume-title":"Formal Concept Analysis","author":"Sergei O. Kuznetsov","year":"2013","unstructured":"Kuznetsov SO (2013) Fitting pattern structures to knowledge discovery in big data. In: Proceedings of the 11th International Conference on Formal Concept Analysis. Dresden, Germany, pp 254\u2013266"},{"key":"783_CR14","doi-asserted-by":"publisher","first-page":"1332","DOI":"10.1126\/science.aab3050","volume":"350","author":"BM Lake","year":"2015","unstructured":"Lake BM, Salakhutdinov R, Tenenbaum JB (2015) Human-level concept learning through probabilistic program induction. Science 350:1332\u20131338","journal-title":"Science"},{"key":"783_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.knosys.2015.03.021","volume":"85","author":"GM Lang","year":"2015","unstructured":"Lang GM, Li QG, Cai MJ et al (2015) Characteristic matrixes-based knowledge reduction in dynamic covering decision information systems. Knowl-Based Syst 85:1\u201326","journal-title":"Knowl-Based Syst"},{"key":"783_CR16","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1016\/j.ins.2014.12.010","volume":"298","author":"JH Li","year":"2015","unstructured":"Li JH, Mei CL, Xu WH, Qian YH (2015) Concept learning via granular computing: a cognitive viewpoint. Inf Sci 298:447\u2013467","journal-title":"Inf Sci"},{"key":"783_CR17","doi-asserted-by":"crossref","unstructured":"Li JH, Huang CC, Xu WH, Qian YH, Liu WQ (2015) Cognitive concept learning via granular computing for big data. In: Proceedings of the 2015 international conference on machine learning and cybernetics. Guangzhou, China, pp 289\u2013294","DOI":"10.1109\/ICMLC.2015.7340937"},{"key":"783_CR18","doi-asserted-by":"publisher","first-page":"244","DOI":"10.1016\/j.ins.2016.04.051","volume":"378","author":"JH Li","year":"2017","unstructured":"Li JH, Huang CC, Qi JJ, Qian YH, Liu WQ (2017) Three-way cognitive concept learning via multi-granularity. Inf Sci 378:244\u2013263","journal-title":"Inf Sci"},{"issue":"1","key":"783_CR19","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.ijar.2012.07.005","volume":"54","author":"JH Li","year":"2013","unstructured":"Li JH, Mei CL, Lv YJ (2013) Incomplete decision contexts: approximate concept construction, rule acquisition and knowledge reduction. Int J Approx Reason 54(1):149\u2013165","journal-title":"Int J Approx Reason"},{"key":"783_CR20","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1016\/j.knosys.2015.07.024","volume":"91","author":"JH Li","year":"2016","unstructured":"Li JH, Ren Y, Mei CL et al (2016) A comparative study of multigranulation rough sets and concept lattices via rule acquisition. Knowl-Based Syst 91:152\u2013164","journal-title":"Knowl-Based Syst"},{"key":"783_CR21","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1016\/j.ins.2015.04.020","volume":"316","author":"WT Li","year":"2015","unstructured":"Li WT, Xu WH (2015) Double-quantitative decision-theoretic rough set. Inf Sci 316:54\u201367","journal-title":"Inf Sci"},{"key":"783_CR22","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1016\/j.knosys.2016.01.042","volume":"99","author":"C Luo","year":"2016","unstructured":"Luo C, Li TR, Yi Z et al (2016) Matrix approach to decision-theoretic rough sets for evolving data. Knowl-Based Syst 99:123\u2013134","journal-title":"Knowl-Based Syst"},{"issue":"23","key":"783_CR23","doi-asserted-by":"publisher","first-page":"5365","DOI":"10.1016\/j.ins.2007.07.008","volume":"177","author":"JM Ma","year":"2007","unstructured":"Ma JM, Zhang WX, Leung Y, Song XX (2007) Granular computing and dual Galois connection. Inf Sci 177(23):5365\u20135377","journal-title":"Inf Sci"},{"issue":"6","key":"783_CR24","doi-asserted-by":"publisher","first-page":"1992","DOI":"10.1016\/j.camwa.2012.03.087","volume":"64","author":"J Medina","year":"2012","unstructured":"Medina J (2012) Relating attribute reduction in formal, object-oriented and property-oriented concept lattices. Comput Math Appl 64(6):1992\u20132002","journal-title":"Comput Math Appl"},{"key":"783_CR25","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/BF01001956","volume":"11","author":"Z Pawlak","year":"1982","unstructured":"Pawlak Z (1982) Rough sets. Int J Comput Inform Sci 11:341\u2013356","journal-title":"Int J Comput Inform Sci"},{"key":"783_CR26","doi-asserted-by":"publisher","DOI":"10.1201\/b14862","volume-title":"Granular computing: analysis and design of intelligent systems","author":"W Pedrycz","year":"2013","unstructured":"Pedrycz W (2013) Granular computing: analysis and design of intelligent systems. CRC Press\/Francis Taylor, Boca Raton"},{"issue":"16","key":"783_CR27","doi-asserted-by":"publisher","first-page":"6601","DOI":"10.1016\/j.eswa.2013.05.007","volume":"40","author":"J Poelmans","year":"2013","unstructured":"Poelmans J, Kuznetsov SO, Ignatov DI, Dedene G (2013) Formal concept analysis in knowledge processing: a survey on models and techniques. Expert Syst Appl 40(16):6601\u20136623","journal-title":"Expert Syst Appl"},{"key":"783_CR28","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.knosys.2015.08.006","volume":"91","author":"JJ Qi","year":"2015","unstructured":"Qi JJ, Qian T, Wei L (2015) The connections between three-way and classical concept lattices. Knowl-Based Syst 91:143\u2013151","journal-title":"Knowl-Based Syst"},{"issue":"7","key":"783_CR29","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1007\/s11432-010-3092-z","volume":"53","author":"GF Qiu","year":"2010","unstructured":"Qiu GF, Ma JM, Yang HZ, Zhang WX (2010) A mathematical model for concept granular computing system. Sci China Inform Sci 53(7):1397\u20131408","journal-title":"Sci China Inform Sci"},{"issue":"5","key":"783_CR30","doi-asserted-by":"publisher","first-page":"721","DOI":"10.1007\/s12559-017-9498-9","volume":"9","author":"S Radhika","year":"2017","unstructured":"Radhika S, Aswani Kumar Ch, Li JH (2017) Establishment of cognitive relations based on cognitive informatics. Cogn Comput 9(5):721\u2013729","journal-title":"Cogn Comput"},{"issue":"3","key":"783_CR31","first-page":"655","volume":"11","author":"J Saquer","year":"2001","unstructured":"Saquer J, Deogun JS (2001) Concept approximations based on rough sets and similarity measures. Int J Appl Math Comput Sci 11(3):655\u2013674","journal-title":"Int J Appl Math Comput Sci"},{"issue":"23","key":"783_CR32","doi-asserted-by":"publisher","first-page":"2627","DOI":"10.1016\/j.fss.2007.05.002","volume":"158","author":"MW Shao","year":"2007","unstructured":"Shao MW, Liu M, Zhang WX (2007) Set approximations in fuzzy formal concept analysis. Fuzzy Sets Syst 158(23):2627\u20132640","journal-title":"Fuzzy Sets Syst"},{"key":"783_CR33","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1016\/j.knosys.2015.07.020","volume":"89","author":"YH She","year":"2015","unstructured":"She YH, Li JH, Yang HL (2015) A local approach to rule induction in multi-scale decision tables. Knowl-Based Syst 89:398\u2013410","journal-title":"Knowl-Based Syst"},{"issue":"2","key":"783_CR34","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1515\/amcs-2016-0035","volume":"26","author":"PK Singh","year":"2016","unstructured":"Singh PK, Kumar CA, Gani A (2016) A comprehensive survey on formal concept analysis, its research trends and applications. Int J Appl Math Comput Sci 26(2):495\u2013516","journal-title":"Int J Appl Math Comput Sci"},{"key":"783_CR35","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ins.2014.04.051","volume":"280","author":"GY Yang","year":"2014","unstructured":"Yang GY, Xu CL, Li DY (2014) Generic normal cloud model. Inf Sci 280:1\u201315","journal-title":"Inf Sci"},{"issue":"2","key":"783_CR36","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/jcini.2008040101","volume":"2","author":"Y Wang","year":"2008","unstructured":"Wang Y (2008) On concept algebra: a denotational mathematical structure for knowledge and sofrware modelling. Int J Cogn Inform Nat Intell 2(2):1\u201319","journal-title":"Int J Cogn Inform Nat Intell"},{"issue":"3","key":"783_CR37","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/jssci.2009070101","volume":"1","author":"Y Wang","year":"2009","unstructured":"Wang Y (2009) On cognitive computing. Int J Softw Sci Comput Intell 1(3):1\u201315","journal-title":"Int J Softw Sci Comput Intell"},{"issue":"1","key":"783_CR38","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.knosys.2016.08.009","volume":"111","author":"C Wang","year":"2016","unstructured":"Wang C, Shao M, He Q, Qian Y, Qi Y (2016) Feature subset selection based on fuzzy neighborhood rough sets. Knowl-Based Syst 111(1):173\u2013179","journal-title":"Knowl-Based Syst"},{"issue":"4","key":"783_CR39","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1109\/TFUZZ.2016.2574918","volume":"25","author":"C Wang","year":"2016","unstructured":"Wang C, Qi Y, Shao M et al (2016) A fitting model for feature selection with fuzzy rough sets. IEEE Trans Fuzzy Syst 25(4):741\u2013753","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"783_CR40","doi-asserted-by":"publisher","unstructured":"Wang C, Hu Q, Wang X et al (2017) Feature selection based on neighborhood discrimination index. IEEE Trans Neural Netw Learn Syst. \n                    https:\/\/doi.org\/10.1109\/TNNLS.2017.2710422","DOI":"10.1109\/TNNLS.2017.2710422"},{"issue":"6","key":"783_CR41","doi-asserted-by":"publisher","first-page":"1460","DOI":"10.1109\/TFUZZ.2017.2717803","volume":"25","author":"R Wang","year":"2017","unstructured":"Wang R, Wang XZ, Kwong S et al (2017) Incorporating diversity and informativeness in multiple-instance active learning. IEEE Trans Fuzzy Syst 25(6):1460\u20131475","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"783_CR42","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/S0165-0114(97)00030-4","volume":"99","author":"XZ Wang","year":"1998","unstructured":"Wang XZ, Hong JR (1998) On the handling of fuzziness for continuous-valued attributes in decision tree generation. Fuzzy Sets Syst 99(3):283\u2013290","journal-title":"Fuzzy Sets Syst"},{"key":"783_CR43","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/11427391_12","volume":"3496","author":"XZ Wang","year":"2005","unstructured":"Wang XZ, Li CG (2005) A new definition of sensitivity for RBFNN and its applications to feature reduction. Lect Notes Comput Sci 3496:81\u201386","journal-title":"Lect Notes Comput Sci"},{"issue":"13\u201315","key":"783_CR44","doi-asserted-by":"publisher","first-page":"2581","DOI":"10.1016\/j.neucom.2007.01.005","volume":"70","author":"XZ Wang","year":"2007","unstructured":"Wang XZ, Dong CR, Fan TG (2007) Training T-S norm neural networks to refine weights for fuzzy if-then rules. Neurocomputing 70(13\u201315):2581\u20132587","journal-title":"Neurocomputing"},{"issue":"2","key":"783_CR45","doi-asserted-by":"publisher","first-page":"380","DOI":"10.1109\/TCYB.2014.2371476","volume":"46","author":"L Wei","year":"2016","unstructured":"Wei L, Wan Q (2016) Granular transformation and irreducible element judgment theory based on pictorial diagrams. IEEE Trans Cybern 46(2):380\u2013387","journal-title":"IEEE Trans Cybern"},{"key":"783_CR46","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1007\/978-94-009-7798-3_15","volume-title":"Ordered sets","author":"R Wille","year":"1982","unstructured":"Wille R (1982) Restructuring lattice theory: an approach based on hierarchies of concepts. In: Rival I (ed) Ordered sets. Reidel, Dordrecht, pp 445\u2013470"},{"issue":"10","key":"783_CR47","doi-asserted-by":"publisher","first-page":"1461","DOI":"10.1109\/TKDE.2008.223","volume":"21","author":"WZ Wu","year":"2009","unstructured":"Wu WZ, Leung Y, Mi JS (2009) Granular computing and knowledge reduction in formal contexts. IEEE Trans Knowl Data Eng 21(10):1461\u20131474","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"4","key":"783_CR48","doi-asserted-by":"publisher","first-page":"1200","DOI":"10.1007\/s40815-016-0230-9","volume":"19","author":"WH Xu","year":"2017","unstructured":"Xu WH, Li MM, Wang XZ (2017) Information fusion based on information entropy in fuzzy multi-source incomplete information system. Int J Fuzzy Syst 19(4):1200\u20131216","journal-title":"Int J Fuzzy Syst"},{"key":"783_CR49","doi-asserted-by":"publisher","first-page":"410","DOI":"10.1016\/j.ins.2016.04.009","volume":"378","author":"WH Xu","year":"2017","unstructured":"Xu WH, Yu JH (2017) A novel approach to information fusion in multi-source datasets: a granular computing viewpoint. Inf Sci 378:410\u2013423","journal-title":"Inf Sci"},{"issue":"2","key":"783_CR50","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1109\/TCYB.2014.2361772","volume":"46","author":"WH Xu","year":"2016","unstructured":"Xu WH, Li WT (2016) Granular computing approach to two-way learning based on formal concept analysis in fuzzy datasets. IEEE Trans Cybern 46(2):366\u2013379","journal-title":"IEEE Trans Cybern"},{"key":"783_CR51","volume-title":"Formal concept analysis: theory and application","author":"WH Xu","year":"2016","unstructured":"Xu WH, Li JH, Wei L, Zhang T (2016) Formal concept analysis: theory and application. Science Press, Beijing"},{"issue":"3","key":"783_CR52","doi-asserted-by":"publisher","first-page":"853","DOI":"10.1016\/j.ijar.2013.10.002","volume":"53","author":"WH Xu","year":"2014","unstructured":"Xu WH, Pang JZ, Luo SQ (2014) A novel cognitive system model and approach to transformation of information granular. Int J Approx Reason 53(3):853\u2013866","journal-title":"Int J Approx Reason"},{"key":"783_CR53","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.fss.2016.08.001","volume":"312","author":"YY Yang","year":"2017","unstructured":"Yang YY, Chen DG, Wang H et al (2017) Fuzzy rough set based incremental attribute reduction from dynamic data with sample arriving. Fuzzy Sets Syst 312:66\u201386","journal-title":"Fuzzy Sets Syst"},{"key":"783_CR54","doi-asserted-by":"crossref","unstructured":"Yao YY (2004a) Concept lattices in rough set theory. In: Proceedings of 2004 annual meeting of the north American fuzzy information processing society. IEEE Computer Society, Washington, DC, pp 796\u2013801","DOI":"10.1109\/NAFIPS.2004.1337404"},{"key":"783_CR55","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/978-3-540-25929-9_6","volume-title":"Rough Sets and Current Trends in Computing","author":"Yiyu Yao","year":"2004","unstructured":"Yao YY (2004b) A comparative study of formal concept analysis and rough set theory in data analysis. In: Proceedings of 4th international conference on rough sets and current trends in computing. Uppsala, Sweden, pp 59\u201368"},{"issue":"4","key":"783_CR56","doi-asserted-by":"publisher","first-page":"855","DOI":"10.1109\/TSMCB.2009.2013334","volume":"39","author":"YY Yao","year":"2009","unstructured":"Yao YY (2009) Interpreting concept learning in cognitive informatics and granular computing. IEEE Trans Cybern 39(4):855\u2013866","journal-title":"IEEE Trans Cybern"},{"issue":"4","key":"783_CR57","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1007\/s12559-016-9397-5","volume":"8","author":"YY Yao","year":"2016","unstructured":"Yao YY (2016) Three-way decisions and cognitive computing. Cogn Comput 8(4):543\u2013554","journal-title":"Cogn Comput"},{"issue":"1","key":"783_CR58","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1007\/s13042-016-0568-1","volume":"8","author":"YY Yao","year":"2017","unstructured":"Yao YY (2017) Interval sets and three-way concept analysis in incomplete contexts. Int J Mach Learn Cybernet 8(1):3\u201320","journal-title":"Int J Mach Learn Cybernet"},{"key":"783_CR59","first-page":"433","volume-title":"Advances in Fuzzy Systems \u2014 Applications and Theory","author":"L. A. Zadeh","year":"1996","unstructured":"Zadeh LA (1979) Fuzzy sets and information granularity. In: Advances in Fuzzy Set Theory and Applications. North-Holland Publishing, Amsterdam, pp 433\u2013448"},{"issue":"6","key":"783_CR60","first-page":"957","volume":"24","author":"WX Zhang","year":"2007","unstructured":"Zhang WX, Xu WH (2007) Cognitive model based on granular computing. Chin J Eng Math 24(6):957\u2013971","journal-title":"Chin J Eng Math"},{"issue":"7","key":"783_CR61","first-page":"2287","volume":"6","author":"QH Zhang","year":"2010","unstructured":"Zhang QH, Xing YK (2010) Formal concept analysis based on granular computing. J Comput Inform Syst 6(7):2287\u20132296","journal-title":"J Comput Inform Syst"},{"issue":"1","key":"783_CR62","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1016\/j.jcss.2014.06.001","volume":"81","author":"YH Zhai","year":"2015","unstructured":"Zhai YH, Li DY, Qu KS (2015) Decision implication canonical basis: a logical perspective. J Comput Syst Sci 81(1):208\u2013218","journal-title":"J Comput Syst Sci"},{"key":"783_CR63","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.knosys.2016.04.011","volume":"104","author":"HL Zhi","year":"2016","unstructured":"Zhi HL, Li J (2016) Granule description based on formal concept analysis. Knowl-Based Syst 104:62\u201373","journal-title":"Knowl-Based Syst"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-018-0783-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-018-0783-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-018-0783-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,9]],"date-time":"2019-02-09T02:10:08Z","timestamp":1549678208000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-018-0783-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,2,9]]},"references-count":63,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2018,11]]}},"alternative-id":["783"],"URL":"https:\/\/doi.org\/10.1007\/s13042-018-0783-z","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,2,9]]},"assertion":[{"value":"9 October 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 February 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}