{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:22:39Z","timestamp":1760170959501,"version":"3.37.3"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,8,22]],"date-time":"2015-08-22T00:00:00Z","timestamp":1440201600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61305057"],"award-info":[{"award-number":["61305057"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2016,2]]},"DOI":"10.1007\/s13042-015-0411-0","type":"journal-article","created":{"date-parts":[[2015,8,21]],"date-time":"2015-08-21T09:25:19Z","timestamp":1440149119000},"page":"13-24","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["An information fusion technology for triadic decision contexts"],"prefix":"10.1007","volume":"7","author":[{"given":"Yaqiang","family":"Tang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinhai","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,8,22]]},"reference":[{"key":"411_CR1","doi-asserted-by":"crossref","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":"6","key":"411_CR2","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1360\/122004-104","volume":"48","author":"WX Zhang","year":"2005","unstructured":"Zhang WX, Wei L, Qi JJ (2005) Attribute reduction theory and approach to concept lattice. Science in China F 48(6):713\u2013726","journal-title":"Science in China F"},{"key":"411_CR3","doi-asserted-by":"crossref","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":"411_CR4","doi-asserted-by":"crossref","first-page":"4125","DOI":"10.1016\/j.ins.2008.07.004","volume":"178","author":"LD Wang","year":"2008","unstructured":"Wang LD, Liu XD (2008) Concept analysis via rough set and AFS algebra. Inf Sci 178:4125\u20134137","journal-title":"Inf Sci"},{"issue":"3","key":"411_CR5","doi-asserted-by":"crossref","first-page":"2696","DOI":"10.1016\/j.eswa.2009.09.026","volume":"37","author":"Ch Aswani Kumar","year":"2010","unstructured":"Aswani Kumar Ch, Srinivas S (2010) Concept lattice reduction using fuzzy K-means clustering. Expert Syst Appl 37(3):2696\u20132704","journal-title":"Expert Syst Appl"},{"issue":"5","key":"411_CR6","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1016\/j.ijar.2013.01.007","volume":"54","author":"JM Ma","year":"2013","unstructured":"Ma JM, Zhang WX (2013) Axiomatic characterizations of dual concept lattices. Int J Approx Reason 54(5):690\u2013697","journal-title":"Int J Approx Reason"},{"issue":"9","key":"411_CR7","doi-asserted-by":"crossref","first-page":"4474","DOI":"10.1016\/j.eswa.2015.01.044","volume":"42","author":"LG Zou","year":"2015","unstructured":"Zou LG, Zhang ZP, Long J (2015) A fast incremental algorithm for constructing concept lattices. Expert Syst Appl 42(9):4474\u20134481","journal-title":"Expert Syst Appl"},{"issue":"1","key":"411_CR8","doi-asserted-by":"crossref","first-page":"15","DOI":"10.3233\/FI-2011-551","volume":"111","author":"TJ Li","year":"2011","unstructured":"Li TJ, Wu WZ (2011) Attribute reduction in formal contexts: a covering rough set approach. Fundam Inform 111(1):15\u201332","journal-title":"Fundam Inform"},{"key":"411_CR9","doi-asserted-by":"crossref","unstructured":"Lehmann F, Wille R (1995) A triadic approach to formal concept analysis. Lecture Notes in Computer Science 954:32\u201343","DOI":"10.1007\/3-540-60161-9_27"},{"issue":"2","key":"411_CR10","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/BF01108624","volume":"12","author":"R Wille","year":"1995","unstructured":"Wille R (1995) The basic theorem of triadic concept analysis. Order 12(2):149\u2013158","journal-title":"Order"},{"key":"411_CR11","first-page":"83","volume-title":"Studies in classification, data analysis, and knowledge organization","author":"F Dau","year":"2000","unstructured":"Dau F, Wille R (2000) On the modal understanding of triadic contexts. In: Decker R, Gaul W (eds) Studies in classification, data analysis, and knowledge organization. Springer, Berlin, pp 83\u201394"},{"key":"411_CR12","unstructured":"Konecny J, Osicka P (2010) General approach to triadic concept analysis. In: Proceedings of CLA, pp 116\u2013126"},{"issue":"2","key":"411_CR13","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1007\/s11083-012-9254-4","volume":"30","author":"R Belohlavek","year":"2013","unstructured":"Belohlavek R, Glodeanu C, Vychodil V (2013) Optimal factorization of three-way binary data using triadic concepts. Order 30(2):437\u2013454","journal-title":"Order"},{"issue":"5","key":"411_CR14","first-page":"689","volume":"44","author":"L Wei","year":"2014","unstructured":"Wei L, Wan Q, Qian T, Qi JJ (2014) An overview of triadic concept analysis. J Northwest Univ 44(5):689\u2013699 (in Chinese)","journal-title":"J Northwest Univ"},{"issue":"8","key":"411_CR15","first-page":"102","volume":"49","author":"YQ Tang","year":"2014","unstructured":"Tang YQ, Fan M, Li JH (2014) Cognitive system model and approach to transformation of information granules under triadic formal concept analysis. J Shandong Univ 49(8):102\u2013106 (in Chinese)","journal-title":"J Shandong Univ"},{"key":"411_CR16","volume-title":"Uncertain decision making based on rough sets","author":"WX Zhang","year":"2005","unstructured":"Zhang WX, Qiu GF (2005) Uncertain decision making based on rough sets. Tsinghua University Press, Beijing"},{"key":"411_CR17","doi-asserted-by":"crossref","unstructured":"Shao MW (2007) Knowledge acquisition in decision formal contexts. In: Proceedings of the sixth international conference on machine learning and cybernetics, Hong Kong, pp 4050\u20134054","DOI":"10.1109\/ICMLC.2007.4370854"},{"issue":"2","key":"411_CR18","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1080\/03081070600913650","volume":"36","author":"KS Qu","year":"2007","unstructured":"Qu KS, Zhai YH, Liang JY, Chen M (2007) Study of decision implications based on formal concept analysis. Int J Gen Syst 36(2):147\u2013156","journal-title":"Int J Gen Syst"},{"issue":"7","key":"411_CR19","doi-asserted-by":"crossref","first-page":"910","DOI":"10.1007\/s11432-008-0067-4","volume":"51","author":"L Wei","year":"2008","unstructured":"Wei L, Qi JJ, Zhang WX (2008) Attribute reduction theory of concept lattice based on decision formal contexts. Sci China F 51(7):910\u2013923","journal-title":"Sci China F"},{"issue":"11\u201312","key":"411_CR20","doi-asserted-by":"crossref","first-page":"1677","DOI":"10.1016\/j.mcm.2008.06.007","volume":"48","author":"H Wang","year":"2008","unstructured":"Wang H, Zhang W (2008) Approaches to knowledge reduction in generalized consistent decision formal context. Math Comput Model 48(11\u201312):1677\u20131684","journal-title":"Math Comput Model"},{"issue":"10","key":"411_CR21","doi-asserted-by":"crossref","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":"1","key":"411_CR22","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.ijar.2013.04.011","volume":"55","author":"MW Shao","year":"2013","unstructured":"Shao MW, Leung Y, Wu WZ (2013) Rule acquisition and complexity reduction in formal decision contexts. Int J Approx Reason 55(1):259\u2013274","journal-title":"Int J Approx Reason"},{"issue":"2","key":"411_CR23","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1080\/03081079.2011.634410","volume":"41","author":"J Li","year":"2012","unstructured":"Li J, Mei C, Lv Y (2012a) Knowledge reduction in formal decision contexts based on an order-preserving mapping. Int J Gen Syst 41(2):143\u2013161","journal-title":"Int J Gen Syst"},{"issue":"4","key":"411_CR24","doi-asserted-by":"crossref","first-page":"1096","DOI":"10.1016\/j.camwa.2010.12.060","volume":"61","author":"J Li","year":"2011","unstructured":"Li J, Mei C, Lv Y (2011a) A heuristic knowledge-reduction method for decision formal contexts. Comput Math Appl 61(4):1096\u20131106","journal-title":"Comput Math Appl"},{"key":"411_CR25","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1016\/j.knosys.2011.02.011","volume":"24","author":"J Li","year":"2011","unstructured":"Li J, Mei C, Lv Y (2011b) Knowledge reduction in decision formal contexts. Knowl Based Syst 24:709\u2013715","journal-title":"Knowl Based Syst"},{"key":"411_CR26","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.knosys.2014.08.020","volume":"71","author":"J Li","year":"2014","unstructured":"Li J, Mei C, Wang J, Zhang X (2014) Rule-preserved object compression in formal decision contexts using concept lattices. Knowl Based Syst 71:435\u2013445","journal-title":"Knowl Based Syst"},{"issue":"5","key":"411_CR27","first-page":"1061","volume":"3","author":"WX Hong","year":"2012","unstructured":"Hong WX, Yu JP, Cai F, Song JL (2012) A new method of attribute reduction for decision formal context. ICIC Express Lett B Appl 3(5):1061\u20131068","journal-title":"ICIC Express Lett B Appl"},{"issue":"1","key":"411_CR28","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.ijar.2012.07.005","volume":"54","author":"J Li","year":"2013","unstructured":"Li J, Mei C, Lv Y (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":"411_CR29","doi-asserted-by":"crossref","unstructured":"Pei D, Li MZ, Mi JS (2011) Attribute reduction in fuzzy decision formal contexts. In: International conference on machine learning and cybernetics. IEEE Press, New York, pp 204\u2013208","DOI":"10.1109\/ICMLC.2011.6016665"},{"key":"411_CR30","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1016\/j.fss.2012.03.003","volume":"203","author":"XP Kang","year":"2012","unstructured":"Kang XP, Li DY, Wang SG, Qu KS (2012) Formal concept analysis based on fuzzy granularity base for different granulations. Fuzzy Sets Syst 203:33\u201348","journal-title":"Fuzzy Sets Syst"},{"key":"411_CR31","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.ins.2011.11.041","volume":"189","author":"J Li","year":"2012","unstructured":"Li J, Mei C, Lv Y (2012) Knowledge reduction in real decision formal contexts. Inf Sci 189:191\u2013207","journal-title":"Inf Sci"},{"key":"411_CR32","doi-asserted-by":"crossref","unstructured":"Li J, Mei C, Lv Y, Zhang X (2012) A heuristic knowledge reduction algorithm for real decision formal contexts. In: Yao JT et al (eds) Proceedings of RSCTC, Lecture Notes in Artificial Intelligence, vol 7413. Springer, Berlin, pp 303\u2013312","DOI":"10.1007\/978-3-642-32115-3_36"},{"issue":"6","key":"411_CR33","doi-asserted-by":"crossref","first-page":"1115","DOI":"10.1007\/s00500-010-0578-y","volume":"15","author":"HZ Yang","year":"2011","unstructured":"Yang HZ, Leung Y, Shao MW (2011) Rule acquisition and attribute reduction in real decision formal contexts. Soft Comput 15(6):1115\u20131128","journal-title":"Soft Comput"},{"key":"411_CR34","doi-asserted-by":"crossref","unstructured":"Jschke R, Hotho A, Schmitz C, et al (2006) TRIAS\u2014an algorithm for mining iceberg tri-lattices. In: Proceeding of the sixth international conference on data mining. Hong Kong, pp 907\u2013911","DOI":"10.1109\/ICDM.2006.162"},{"key":"411_CR35","doi-asserted-by":"crossref","unstructured":"Missaoui R, Kwuida L (2011) Mining triadic association rules from ternary relations. In: Proceeding of ICFCA, Lecture Notes in Computer Science, vol 6628. Springer, Berlin, pp 204\u2013218","DOI":"10.1007\/978-3-642-20514-9_16"},{"key":"411_CR36","doi-asserted-by":"crossref","unstructured":"Ignatov DI, Gnatyshak DV, Kuznetsov SO et al (2015) Triadic formal concept analysis and triclustering: searching for optimal patterns. Mach Learn. doi: 10.1007\/s10994-015-5487-y","DOI":"10.1007\/s10994-015-5487-y"},{"issue":"3","key":"411_CR37","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1002\/sec.589","volume":"6","author":"C Aswani Kumar","year":"2013","unstructured":"Aswani Kumar C (2013) Designing role-based access control using formal concept analysis. Secur Commun Netw 6(3):373\u2013383","journal-title":"Secur Commun Netw"},{"key":"411_CR38","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1016\/j.ins.2014.12.010","volume":"298","author":"J Li","year":"2015","unstructured":"Li J, Mei C, Xu W, Qian Y (2015) Concept learning via granular computing: a cognitive viewpoint. Inf Sci 298:447\u2013467","journal-title":"Inf Sci"},{"key":"411_CR39","doi-asserted-by":"crossref","unstructured":"Wang XZ, Xing HJ, Li Y et al (2014) A study on relationship between generalization abilities and fuzziness of base classifiers in ensemble learning. IEEE Trans Fuzzy Syst. doi: 10.1109\/TFUZZ.2014.2371479","DOI":"10.1109\/TFUZZ.2014.2371479"},{"issue":"8","key":"411_CR40","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1109\/TKDE.2011.67","volume":"24","author":"XZ Wang","year":"2012","unstructured":"Wang XZ, Dong LC, Yan JH (2012) Maximum ambiguity based sample selection in fuzzy decision tree induction. IEEE Trans Knowl Data Eng 24(8):1491\u20131505","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"3","key":"411_CR41","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1109\/TFUZZ.2008.924342","volume":"17","author":"XZ Wang","year":"2009","unstructured":"Wang XZ, Dong CR (2009) Improving generalization of fuzzy if\u2013then rules by maximizing fuzzy entropy. IEEE Trans Fuzzy Syst 17(3):556\u2013567","journal-title":"IEEE Trans Fuzzy Syst"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0411-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-015-0411-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-015-0411-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,7]],"date-time":"2020-09-07T11:38:31Z","timestamp":1599478711000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-015-0411-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,22]]},"references-count":41,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,2]]}},"alternative-id":["411"],"URL":"https:\/\/doi.org\/10.1007\/s13042-015-0411-0","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"type":"print","value":"1868-8071"},{"type":"electronic","value":"1868-808X"}],"subject":[],"published":{"date-parts":[[2015,8,22]]}}}