{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:44:28Z","timestamp":1740149068625,"version":"3.37.3"},"reference-count":30,"publisher":"Wiley","license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Advances in Fuzzy Systems"],"published-print":{"date-parts":[[2012]]},"abstract":"<jats:p>Although many classification techniques exist to analyze patterns possessing straightforward characteristics, they tend to fail when the ratio of features to patterns is very large. This \u201ccurse of dimensionality\u201d is especially prevalent in many complex, voluminous biomedical datasets acquired using the latest spectroscopic modalities. To address this pattern classification issue, we present a technique using an adaptive network of fuzzy logic connectives to combine class boundaries generated by sets of discriminant functions. We empirically evaluate the effectiveness of this classification technique by comparing it against two conventional benchmark approaches, both of which use feature averaging as a preprocessing phase.<\/jats:p>","DOI":"10.1155\/2012\/920920","type":"journal-article","created":{"date-parts":[[2012,3,5]],"date-time":"2012-03-05T15:52:38Z","timestamp":1330962758000},"page":"1-7","source":"Crossref","is-referenced-by-count":4,"title":["Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network"],"prefix":"10.1155","volume":"2012","author":[{"given":"Nick J.","family":"Pizzi","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Manitoba, Winnipeg MB, Canada R3T 2N2"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Witold","family":"Pedrycz","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton AB, Canada T6R 2G7"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"year":"2008","key":"15"},{"year":"2009","key":"1"},{"issue":"4","key":"17","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1007\/s10044-009-0170-1","volume":"13","year":"2010","journal-title":"Pattern Analysis & Applications"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2010.05.003"},{"issue":"11","key":"12","first-page":"1320","volume":"52","year":"2005","journal-title":"Notices of the American Mathematical Society"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1137\/090748330"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1016\/0933-3657(94)00027-P"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btg419"},{"issue":"1","key":"4","first-page":"36","volume":"37","year":"1983","journal-title":"The American Scientist"},{"issue":"4857","key":"27","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1126\/science.3287615","volume":"240","year":"1988","journal-title":"Science"},{"key":"5","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1111\/j.2044-8317.1968.tb00400.x","volume":"21","year":"1968","journal-title":"The British Journal of Mathematical and Statistical Psychology"},{"year":"2004","key":"25"},{"year":"2002","key":"24"},{"year":"1998","key":"30"},{"year":"2005","key":"32"},{"key":"31","first-page":"774","volume":"24","year":"1963","journal-title":"Automation and Remote Control"},{"year":"2007","key":"22"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1023\/A:1012487302797"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/91.995117"},{"key":"13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2007.06.005"},{"key":"28","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2105-7-95"},{"issue":"3","key":"18","first-page":"257","volume":"15","year":"2005","journal-title":"Neural Network World"},{"issue":"2","key":"16","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1080\/10798587.2006.10642925","volume":"12","year":"2006","journal-title":"Intelligent Automation and Soft Computing"},{"year":"1989","key":"7"},{"year":"2004","key":"9"},{"year":"2001","key":"10"},{"year":"2001","key":"23"},{"first-page":"67","volume-title":"A data-driven, flexible machine learning strategy for the classification of biomedical data","year":"2004","key":"26"},{"year":"2009","series-title":"2nd","key":"29"},{"issue":"12","key":"33","first-page":"752","volume":"29","year":"1982","journal-title":"IEEE Transactions on Biomedical Engineering"}],"container-title":["Advances in Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/afs\/2012\/920920.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/afs\/2012\/920920.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/afs\/2012\/920920.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,20]],"date-time":"2017-06-20T11:09:27Z","timestamp":1497956967000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/afs\/2012\/920920\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"references-count":30,"alternative-id":["920920","920920"],"URL":"https:\/\/doi.org\/10.1155\/2012\/920920","relation":{},"ISSN":["1687-7101","1687-711X"],"issn-type":[{"type":"print","value":"1687-7101"},{"type":"electronic","value":"1687-711X"}],"subject":[],"published":{"date-parts":[[2012]]}}}