{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T09:50:08Z","timestamp":1770025808779,"version":"3.49.0"},"reference-count":23,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,8,11]]},"abstract":"<jats:p>Set-valued data is a significant kind of data, such as data obtained from different search engines, market data, patients\u2019 symptoms and behaviours. An information system (IS) based on incomplete set-valued data is called an incomplete set-valued information system (ISVIS), which generalized model of a single-valued incomplete information system. This paper gives feature selection for an ISVIS by means of uncertainty measurement. Firstly, the similarity degree between two information values on a given feature of an ISVIS is proposed. Then, the tolerance relation on the object set with respect to a given feature subset in an ISVIS is obtained. Next, \u03bb-reduction in an ISVIS is presented. What\u2019s more, connections between the proposed feature selection and uncertainty measurement are exhibited. Lastly, feature selection algorithms based on \u03bb-discernibility matrix, \u03bb-information granulation, \u03bb-information entropy and \u03bb-significance in an ISVIS are provided. In order to better prove the practical significance of the provided algorithms, a numerical experiment is carried out, and experiment results show the number of features and average size of features by each feature selection algorithm.<\/jats:p>","DOI":"10.3233\/jifs-210135","type":"journal-article","created":{"date-parts":[[2021,6,30]],"date-time":"2021-06-30T05:30:29Z","timestamp":1625031029000},"page":"1217-1235","source":"Crossref","is-referenced-by-count":0,"title":["Feature selection for incomplete set-valued data"],"prefix":"10.1177","volume":"41","author":[{"given":"Lulu","family":"Li","sequence":"first","affiliation":[{"name":"College of Computer Science and Engineering, Yulin Normal University, Yulin, Guangxi, P.R.China"}]}],"member":"179","reference":[{"issue":"5","key":"10.3233\/JIFS-210135_ref1","doi-asserted-by":"crossref","first-page":"987","DOI":"10.1016\/j.ins.2010.10.030","article-title":"Sequential covering rule induction algorithm for variable consistency rough set 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