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Through proposed integration, the knowledge acquisition process becomes insensitive to the dimensionality of data with a pre-defined tolerance degree of noise and uncertainty for misclassification. When the authors apply the method to a Chinese diabetic diagnosis problem, the hybrid-attribute reduction method selected only five attributes from totally thirty-four measurements. Rule learner produced eight rules with average two attributes in the left part of an IF-THEN rule form, which is a manageable set of rules. The demonstrated experiment shows that the present approach is effective in handling real-world problems.<\/p>","DOI":"10.4018\/jssci.2010040104","type":"journal-article","created":{"date-parts":[[2010,6,30]],"date-time":"2010-06-30T17:08:41Z","timestamp":1277917721000},"page":"66-85","source":"Crossref","is-referenced-by-count":2,"title":["Feature Based Rule Learner in Noisy Environment Using Neighbourhood Rough Set Model"],"prefix":"10.4018","volume":"2","author":[{"given":"Yang","family":"Liu","sequence":"first","affiliation":[{"name":"Xi\u2019an Jiaotong University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luyang","family":"Jiao","sequence":"additional","affiliation":[{"name":"First Affiliated Hospital of Xinxiang Medical College, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guohua","family":"Bai","sequence":"additional","affiliation":[{"name":"Blekinge Institute of Technology, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boqin","family":"Feng","sequence":"additional","affiliation":[{"name":"Xi\u2019an Jiaotong University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jssci.2010040104-0","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(00)00052-X"},{"key":"jssci.2010040104-1","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(00)00280-0"},{"key":"jssci.2010040104-2","unstructured":"Blake, E. 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