{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:10:57Z","timestamp":1743124257373,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":9,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540876557"},{"type":"electronic","value":"9783540876564"}],"license":[{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2008,1,1]],"date-time":"2008-01-01T00:00:00Z","timestamp":1199145600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2008]]},"DOI":"10.1007\/978-3-540-87656-4_75","type":"book-chapter","created":{"date-parts":[[2009,1,7]],"date-time":"2009-01-07T18:56:17Z","timestamp":1231354577000},"page":"608-615","source":"Crossref","is-referenced-by-count":1,"title":["A Minimum Risk Wrapper Algorithm for Genetically Selecting Imprecisely Observed Features, Applied to the Early Diagnosis of Dyslexia"],"prefix":"10.1007","author":[{"given":"Luciano","family":"S\u00e1nchez","sequence":"first","affiliation":[]},{"given":"Ana","family":"Palacios","sequence":"additional","affiliation":[]},{"given":"In\u00e9s","family":"Couso","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"75_CR1","unstructured":"Ajuriaguerra, J.: Manual de psiquiatr\u00eda infantil (in spanish). Toray-Masson (1976)"},{"key":"75_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/978-3-540-24854-5_96","volume-title":"Genetic and Evolutionary Computation \u2013 GECCO 2004","author":"E. Cant\u00fa-Paz","year":"2004","unstructured":"Cant\u00fa-Paz, E.: Feature Subset Selection, Class Separability, and Genetic Algorithms. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol.\u00a03102, pp. 959\u2013970. Springer, Heidelberg (2004)"},{"key":"75_CR3","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/S0020-0255(01)00147-5","volume":"136","author":"J. Casillas","year":"2001","unstructured":"Casillas, J., Cord\u00f3n, O., del Jesus, M.J., Herrera, F.: Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process for high-dimensional problems. Information Sciences\u00a0136, 135\u2013157 (2001)","journal-title":"Information Sciences"},{"issue":"4","key":"75_CR4","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1109\/TSMC.1985.6313426","volume":"15","author":"J.M. Keller","year":"1985","unstructured":"Keller, J.M., Gray, M.R., Givens, J.A.: A fuzzy k -nearest neighbor algorithm. IEEE Trans. Systems Man Cybernet.\u00a015(4), 580\u2013585 (1985)","journal-title":"IEEE Trans. Systems Man Cybernet."},{"key":"75_CR5","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, L., Couso, I., Casillas, J.: A Multiobjective Genetic Fuzzy System with Imprecise Probability Fitness for Vague Data. In: Proc. Int. Symp. on Evolving Fuzzy Systems, pp. 131\u2013136 (2006)","DOI":"10.1109\/ISEFS.2006.251156"},{"key":"75_CR6","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, L., Couso, I., Casillas, J.: Modelling vague data with genetic fuzzy systems under a combination of crisp and imprecise criteria. In: Proc. 2007 IEEE MCDM, Honolulu, USA (2007)","DOI":"10.1109\/MCDM.2007.369413"},{"key":"75_CR7","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, L., Su\u00e1rez, M.R., Villar, J.R., Couso, I.: Mutual Information-based Feature Selection and Partition Design in Fuzzy Rule-based Classifiers from Vague Data. In: Int. J. Approximate Reasoning (in press, 2009)","DOI":"10.1016\/j.ijar.2008.06.005"},{"key":"75_CR8","unstructured":"S\u00e1nchez, V.J.R., Couso, I.: Genetic Feature Selection for Fuzzy Discretized Data. In: IPMU 2008, M\u00e1laga (in press, 2008)"},{"key":"75_CR9","doi-asserted-by":"publisher","first-page":"2134","DOI":"10.1016\/j.fss.2007.04.023","volume":"158","author":"M. Sarkar","year":"2007","unstructured":"Sarkar, M.: Fuzzy-rough nearest neighbor algorithms in classification. Fuzzy Sets and Systems\u00a0158, 2134\u20132152 (2007)","journal-title":"Fuzzy Sets and Systems"}],"container-title":["Lecture Notes in Computer Science","Hybrid Artificial Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-87656-4_75","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T03:43:08Z","timestamp":1714621388000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-540-87656-4_75"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2008]]},"ISBN":["9783540876557","9783540876564"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-87656-4_75","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2008]]}}}