{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T17:19:24Z","timestamp":1777742364782,"version":"3.51.4"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2018,1,30]],"date-time":"2018-01-30T00:00:00Z","timestamp":1517270400000},"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. & Cyber."],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1007\/s13042-017-0771-8","type":"journal-article","created":{"date-parts":[[2018,1,30]],"date-time":"2018-01-30T04:10:54Z","timestamp":1517285454000},"page":"925-934","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Roughness measure based on description ability for attribute reduction in information system"],"prefix":"10.1007","volume":"10","author":[{"given":"Fachao","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenxia","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinning","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,1,30]]},"reference":[{"issue":"5","key":"771_CR1","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 Inf Comput Sci 11(5):341\u2013356","journal-title":"Int J Inf Comput Sci"},{"key":"771_CR2","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.patrec.2013.09.012","volume":"36","author":"Z Lu","year":"2014","unstructured":"Lu Z, Qin Z, Zhang J, Fang J (2014) A fast feature selection approach based on rough set boundary regions. Pattern Recogn Lett 36:81\u201388","journal-title":"Pattern Recogn Lett"},{"key":"771_CR3","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.ins.2013.08.022","volume":"271","author":"Y Liu","year":"2014","unstructured":"Liu Y, Huang W, Jiang Y, Zeng Z (2014) Quick attribute reduct algorithm for neighborhood rough set model. Inf Sci 271:65\u201381","journal-title":"Inf Sci"},{"issue":"6","key":"771_CR4","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, Xu C (2017) Incorporating diversity and informativeness in multiple-instance active learning. IEEEE Trans Fuzzy Syst 25(6):1460\u20131475","journal-title":"IEEEE Trans Fuzzy Syst"},{"issue":"4","key":"771_CR5","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1109\/TFUZZ.2016.2574918","volume":"25","author":"CZ Wang","year":"2017","unstructured":"Wang CZ, Qi YL, Shao MW, Hu QH, Chen DG (2017) A fitting model for feature selection with fuzzy rough sets. IEEE Trans Fuzzy Syst 25(4):741\u2013753","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"771_CR6","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/j.knosys.2016.08.009","volume":"111","author":"CZ Wang","year":"2016","unstructured":"Wang CZ, Shao MW, He Q, Qian YH, Qi YL (2016) Feature subset selection based on fuzzy neighborhood rough sets. Knowl Based Syst 111(1):173\u2013179","journal-title":"Knowl Based Syst"},{"key":"771_CR7","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1016\/j.ins.2014.03.078","volume":"278","author":"X Ma","year":"2014","unstructured":"Ma X, Wang GY, Yu H, Li TR (2014) Decision region distribution preservation reduction in decision-theoretic rough set model. Inf Sci 278:614\u2013640","journal-title":"Inf Sci"},{"key":"771_CR8","doi-asserted-by":"crossref","unstructured":"Skowron A, Rauszer C, The discernibility matrices and functions in information systems. Intell Decis Support 1992:331\u2013362","DOI":"10.1007\/978-94-015-7975-9_21"},{"key":"771_CR9","unstructured":"AlRadaideh QA, Sulaiman MN, Selamat MH, Ibrahim H (2005) Approximate reduct computation by rough sets based attribute weighting. IEEE Int Conf Granul Comput 383\u2013386"},{"issue":"3\u20134","key":"771_CR10","first-page":"351","volume":"47","author":"J Wroblewski","year":"2001","unstructured":"Wroblewski J (2001) Ensembles of classifiers based on approximate reducts. Fund Inf 47(3\u20134):351\u2013360","journal-title":"Fund Inf"},{"key":"771_CR11","doi-asserted-by":"publisher","first-page":"4140","DOI":"10.1016\/j.ins.2009.08.020","volume":"179","author":"DQ Miao","year":"2009","unstructured":"Miao DQ, Zhao Y, Yao YY, Li HX, Xu FF (2009) Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model. Inf Sci 179:4140\u20134150","journal-title":"Inf Sci"},{"key":"771_CR12","doi-asserted-by":"publisher","first-page":"8229","DOI":"10.1016\/j.eswa.2011.01.002","volume":"38","author":"S Kahramanli","year":"2011","unstructured":"Kahramanli S, Hacibeyoglu M, Arslan A (2011) A Boolean function approach to feature selection in consistent decision information systems. Expert Syst Appl 38:8229\u20138239","journal-title":"Expert Syst Appl"},{"key":"771_CR13","doi-asserted-by":"publisher","first-page":"3500","DOI":"10.1016\/j.ins.2007.02.041","volume":"177","author":"DG Chen","year":"2007","unstructured":"Chen DG, Z.Wang C, Hu QH (2007) A new approach to attribute reduction of consistent and inconsistent covering decision systems with covering rough sets. Inf Sci 177:3500\u20133518","journal-title":"Inf Sci"},{"key":"771_CR14","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.ins.2013.08.057","volume":"254","author":"CZ Wang","year":"2014","unstructured":"Wang CZ, He Q, Chen DG, Hu QH (2014) A novel method for attribute reduction of covering decision systems. Inf Sci 254:181\u2013196","journal-title":"Inf Sci"},{"key":"771_CR15","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.patrec.2015.06.031","volume":"65","author":"GL Liu","year":"2015","unstructured":"Liu GL, Li L, Yang JT, Feng YB, Zhu K (2015) Attribute reduction approaches for general relation decision systems. Pattern Recogn Lett 65:81\u201387","journal-title":"Pattern Recogn Lett"},{"issue":"3","key":"771_CR16","doi-asserted-by":"publisher","first-page":"592","DOI":"10.1016\/S0377-2217(00)00280-0","volume":"134","author":"M Beynon","year":"2001","unstructured":"Beynon M (2001) Reducts within the variable precision rough sets model: a further investigation. Eur J Oper Res 134(3):592\u2013605","journal-title":"Eur J Oper Res"},{"key":"771_CR17","unstructured":"Grzymala-Busse JW (1991) An algorithm for computing a single covering, Kluwer Academic Publishers, p\u00a066"},{"issue":"3,4","key":"771_CR18","first-page":"365","volume":"53","author":"D Slezak","year":"2002","unstructured":"Slezak D (2002) Approximate entropy reducts. Fund Inf 53(3,4):365\u2013390","journal-title":"Fund Inf"},{"key":"771_CR19","first-page":"681","volume":"36","author":"DQ Miao","year":"1999","unstructured":"Miao DQ, Hu GR (1999) A heuristic algorithm for reduction of knowledge. Chin J Comput Res Dev 36:681\u2013684","journal-title":"Chin J Comput Res Dev"},{"issue":"1","key":"771_CR20","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1142\/S021848850200134X","volume":"10","author":"JY Liang","year":"2002","unstructured":"Liang JY, Qian YH, Chu DY, Li DY, Wang JH (2002) The algorithm on knowledge reduction in incomplete information systems. Int J Uncert Fuzziness Knowl Based Syst 10(1):95\u2013103","journal-title":"Int J Uncert Fuzziness Knowl Based Syst"},{"issue":"7","key":"771_CR21","first-page":"56","volume":"37","author":"SZ Wu","year":"2011","unstructured":"Wu SZ, Gou PZ (2011) Attribute reduction algorithm on rough set and information entropy and its application. Comput Eng 37(7):56\u201361","journal-title":"Comput Eng"},{"key":"771_CR22","doi-asserted-by":"publisher","first-page":"614","DOI":"10.1016\/j.ins.2014.03.078","volume":"278","author":"XA Ma","year":"2014","unstructured":"Ma XA, Wang GY, Yu H, Li TR (2014) Decision region distribution preservation reduction in decision-theoretic rough set model. Inf Sci 278:614\u2013640","journal-title":"Inf Sci"},{"key":"771_CR23","doi-asserted-by":"publisher","first-page":"942","DOI":"10.1016\/j.asoc.2015.10.059","volume":"38","author":"YM Chen","year":"2016","unstructured":"Chen YM, Zeng ZQ, Zhu QX, Tang CH (2016) Three-way decision reduction in neighborhood systems. Appl Soft Comput 38:942\u2013954","journal-title":"Appl Soft Comput"},{"issue":"99","key":"771_CR24","first-page":"1","volume":"PP","author":"XZ Wang","year":"2017","unstructured":"Wang XZ, Wang R, Xu C (2017) Discovering the relationship between generalization and uncertainty by incorporating complexity of classification. IEEE Trans Cybern PP(99):1\u201313","journal-title":"IEEE Trans Cybern"},{"issue":"3","key":"771_CR25","first-page":"1007","volume":"33","author":"RA Raza","year":"2017","unstructured":"Raza RA, Wang XZ (2017) Impact of fuzziness categorization on divide and conquer strategy for instance selection. J Intell Fuzzy Syst 33(3):1007\u20131018","journal-title":"J Intell Fuzzy Syst"},{"key":"771_CR26","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.neucom.2017.04.010","volume":"251","author":"HY Zhu","year":"2017","unstructured":"Zhu HY, Wang XZ (2017) A cost-sensitive semi-supervised learning model based on uncertainty. Neurocomputing 251:106\u2013114","journal-title":"Neurocomputing"},{"key":"771_CR27","volume-title":"Theory and methods of rough sets","author":"WX Zhang","year":"2001","unstructured":"Zhang WX et al (2001) Theory and methods of rough sets. Science Press, Beijing"},{"key":"771_CR28","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1142\/S0218488504002631","volume":"12","author":"JY Liang","year":"2004","unstructured":"Liang JY, Shi ZZ (2004) The information entropy, rough entropy, and knowledge granulation in rough set theory. Int J Uncert Fuzziness Knowl Based Syst 12:37\u201346","journal-title":"Int J Uncert Fuzziness Knowl Based Syst"},{"issue":"4","key":"771_CR29","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1080\/0308107021000013635","volume":"31","author":"JY Liang","year":"2002","unstructured":"Liang JY, Chin KS, Dang CY, Yam RCM (2002) A new method for measuring uncertainty and fuzziness in rough set theory. Int J Gen Syst 31(4):331\u2013342","journal-title":"Int J Gen Syst"},{"key":"771_CR30","unstructured":"Qian YH, Liang JY (2006) Combination entropy and combination granulation in incomplete information system. Lecture Notes in Artificial Intelligence, vol 4062, pp\u00a0184\u2013190"},{"key":"771_CR31","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1142\/S0218488508005121","volume":"16","author":"YH Qian","year":"2008","unstructured":"Qian YH, Liang JY (2008) Combination entropy and combination granulation in rough set theory. Int J Uncert Fuzziness Knowl Based Syst 16:179\u2013193","journal-title":"Int J Uncert Fuzziness Knowl Based Syst"},{"key":"771_CR32","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.ijar.2015.01.005","volume":"59","author":"GY Wang","year":"2015","unstructured":"Wang GY, Ma XA, Yu H (2015) Monotonic uncertainty measures for attribute reduction in probabilistic rough set model. Int J Approx Reason 59:41\u201367","journal-title":"Int J Approx Reason"},{"issue":"4","key":"771_CR33","doi-asserted-by":"publisher","first-page":"1277","DOI":"10.1109\/TSMCB.2012.2228480","volume":"43","author":"JH Dai","year":"2012","unstructured":"Dai JH, Wang WT, Xu Q (2012) An uncertainty measure for incomplete decision tables and its applications. IEEE Trans Cybern 43(4):1277\u20131289","journal-title":"IEEE Trans Cybern"},{"key":"771_CR34","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1016\/j.knosys.2012.10.018","volume":"39","author":"JH Dai","year":"2013","unstructured":"Dai JH, Wang WT, Tian HW, Liu L (2013) Attribute selection based on a new conditional entropy for incomplete decision systems. Knowl Based Syst 39:207\u2013213","journal-title":"Knowl Based Syst"},{"key":"771_CR35","doi-asserted-by":"publisher","first-page":"3509","DOI":"10.1016\/j.patcog.2007.03.017","volume":"40","author":"QH Hu","year":"2007","unstructured":"Hu QH, Xie ZX, Yu D (2007) Hybrid attribute reduction based on a novel fuzzy-rough model and information granulation. Pattern Recogn 40:3509\u20133521","journal-title":"Pattern Recogn"},{"key":"771_CR36","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.knosys.2016.12.002","volume":"119","author":"CX Jin","year":"2017","unstructured":"Jin CX, Li FC, Hu QH (2017) Knowledge change rate-based attribute importance measure and its performance analysis. Knowl Based Syst 119:59\u201367","journal-title":"Knowl Based Syst"},{"key":"771_CR37","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.knosys.2015.05.021","volume":"86","author":"TT Zheng","year":"2015","unstructured":"Zheng TT, Zhu LY (2015) Uncertainty measure of neighborhood system-based rough sets. Knowl Based Syst 86:57\u201366","journal-title":"Knowl Based Syst"},{"key":"771_CR38","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.ins.2014.03.117","volume":"279","author":"YM Chen","year":"2014","unstructured":"Chen YM (2014) An-entropy based uncertainty measurement approach in neighborhood systems. Inf Sci 279:239\u2013250","journal-title":"Inf Sci"},{"key":"771_CR39","doi-asserted-by":"publisher","first-page":"458","DOI":"10.1016\/j.ins.2008.10.010","volume":"179","author":"JY Liang","year":"2009","unstructured":"Liang JY, Wang JH, Qian YH (2009) A new measure of uncertainty based on knowledge granulation for rough sets. Inf Sci 179:458\u2013470","journal-title":"Inf Sci"},{"key":"771_CR40","unstructured":"Wang GY (2001) Rough set theory and knowledge acquisition. Xi\u2019an Jiao Tong University press"},{"issue":"2","key":"771_CR41","doi-asserted-by":"publisher","first-page":"351","DOI":"10.3724\/SP.J.1016.2012.00351","volume":"35","author":"DQ Miao","year":"2012","unstructured":"Miao DQ, Xu FF, Yao YY, Wei L (2012) Set-theoretic formulation of granular computing. Chin J Comput 35(2):351\u2013363","journal-title":"Chin J Comput"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-017-0771-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0771-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-017-0771-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,4,24]],"date-time":"2019-04-24T05:45:40Z","timestamp":1556084740000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-017-0771-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,30]]},"references-count":41,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2019,5]]}},"alternative-id":["771"],"URL":"https:\/\/doi.org\/10.1007\/s13042-017-0771-8","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,30]]},"assertion":[{"value":"10 May 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 December 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}