{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:39:21Z","timestamp":1777703961944,"version":"3.51.4"},"reference-count":37,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2017,7,8]],"date-time":"2017-07-08T00:00:00Z","timestamp":1499472000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2017,7,21]]},"abstract":"<jats:p>Fuzziness based divide and conquer (D&amp;C) is a recently proposed strategy for promoting the classifiers (i.e., fuzzy classifiers) performance, where the amount of fuzziness quantity associated with each data point (i.e., both labeled and unlabeled) is considered as an important avenue to the empire for instance selection problem. This technique is regarded as a semi-supervised learning (SSL) technique, where different categories of instances are obtained by using fuzziness measure, and then the instances having less amount of fuzziness are incorporated into training set for improving the generalization ability of a classifier. This study proposes some effective methods and presents a novel algorithm for categorizing the instances into three groups that can effectively integrate with D&amp;C strategy. It is observed by the experimental validation that considering the splitting criteria for instances categorization can lead the classifier to perform better on withheld set. Results on different classification data sets prove the effectiveness of proposed algorithm.<\/jats:p>","DOI":"10.3233\/jifs-162297","type":"journal-article","created":{"date-parts":[[2017,7,11]],"date-time":"2017-07-11T11:22:49Z","timestamp":1499772169000},"page":"1007-1018","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Impact of fuzziness categorization on divide and conquer strategy for instance selection"],"prefix":"10.1177","volume":"33","author":[{"given":"Rana Aamir Raza","family":"Ashfaq","sequence":"first","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"},{"name":"Department of Computer Science, Bahauddin Zakariya University, Multan, Pakistan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi-Zhao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,7,8]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ.2001.1008855"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.12.016"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116828"},{"key":"e_1_3_2_5_2","article-title":"Toward an efficient fuzziness based instance selection methodology for intrusion detection system","author":"Ashfaq R.A.R.","year":"2016","unstructured":"AshfaqR.A.R., HeY.-L. and ChenD.-G., Toward an efficient fuzziness based instance selection methodology for intrusion detection system, International Journal of Machine Learning and Cybernetics (2016). DOI: 10.1007\/s13042-016-0557-4","journal-title":"International Journal of Machine Learning and Cybernetics"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.04.019"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.11.015"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.03.039"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/BF00994018"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(72)90199-4"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-015-0424-8"},{"key":"e_1_3_2_12_2","unstructured":"DuboisD. and PradeH.M. Fuzzy sets and systems: Theory and applications Academic Press 1980."},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-014-0230-8"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-014-0239-z"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.01.037"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/72.471375"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-015-0439-1"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-015-0428-4"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-335-6.50026-X"},{"key":"e_1_3_2_20_2","doi-asserted-by":"crossref","unstructured":"LewisD.D. and GaleW.A. A Sequential Algorithm for Training Text Classifiers Springer-Verlag 1994 pp. 3\u201312.","DOI":"10.1007\/978-1-4471-2099-5_1"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-015-0391-0"},{"key":"e_1_3_2_22_2","unstructured":"LichmanM. {UCI} Machine Learning Repository 2013."},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-014-0302-9"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-010-9165-y"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/0925-2312(94)90053-1"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2015.01.007"},{"key":"e_1_3_2_27_2","first-page":"1","volume-title":"Proceedings, 11th IAPR International Conference on Pattern Recognition Conference B: Pattern Recognition Methodology and Systems","author":"Schmidt W.F.","unstructured":"SchmidtW.F., KraaijveldM.A. and DuinR.P.W., Feedforward neural networks with random weights, In Proceedings, 11th IAPR International Conference on Pattern Recognition Conference B: Pattern Recognition Methodology and Systems, Vol. II, pp. 1\u20134. IEEE Comput Soc Press."},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130417"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-151729"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.67"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2014.2371479"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(96)00058-6"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-015-0394-x"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-014-0248-y"},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(68)90078-4"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.07.026"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.11.014"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-162297","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-162297","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-162297","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:40:05Z","timestamp":1777455605000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-162297"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,7,8]]},"references-count":37,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,7,21]]}},"alternative-id":["10.3233\/JIFS-162297"],"URL":"https:\/\/doi.org\/10.3233\/jifs-162297","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,7,8]]}}}