{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:25:14Z","timestamp":1777703114413,"version":"3.51.4"},"reference-count":12,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2016,8,5]],"date-time":"2016-08-05T00:00:00Z","timestamp":1470355200000},"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":[[2016,9]]},"abstract":"<jats:p>Intuitionistic fuzzy recommender system (IFRS), which has been recently presented based on the theories of intuitionistic fuzzy sets and recommender systems, is an efficient tool for medical diagnosis. IFRS used the intuitionistic fuzzy similarity degree (IFSD) regarded as the generalization of the hard user-based, item-based and the rating-based similarity degrees in recommender systems to calculate the analogousness between patients in the system. In this paper, we firstly extend IFRS by using a new term - the intuitionistic fuzzy vector (IFV) instead of the existing intuitionistic fuzzy matrix (IFM) in IFRS. Then, the intuitionistic value similarity measure (IvSM) and the intuitionistic vector similarity measure (IVSM) are defined on the basis of the intuitionistic fuzzy vector. Some mathematical properties of these new terms are examined, and several IVSM functions are proposed. The performances of these IVSM functions for medical diagnosis are experimentally validated and compared with the existing similarity degrees of IFRS. The suggestion and recommendation of this paper involve the most efficient IVSM function(s) that should be used for medical diagnosis.<\/jats:p>","DOI":"10.3233\/jifs-151654","type":"journal-article","created":{"date-parts":[[2016,8,16]],"date-time":"2016-08-16T14:35:01Z","timestamp":1471358101000},"page":"1597-1608","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":34,"title":["On the performance evaluation of\u00a0intuitionistic vector similarity measures\u00a0for medical diagnosis"],"prefix":"10.1177","volume":"31","author":[{"given":"Le Hoang","family":"Son","sequence":"first","affiliation":[{"name":"VNU University of Science, Vietnam National University, Hanoi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pham Hong","family":"Phong","sequence":"additional","affiliation":[{"name":"National University of Civil Engineering, Hanoi, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,8,5]]},"reference":[{"issue":"1","key":"e_1_3_1_2_2","first-page":"30","article-title":"Intuitionistic fuzzy methods in software reliability modelling","volume":"1","author":"Albeanu G.","year":"2010","unstructured":"AlbeanuG., and Popentiu-VladicescuF.L., Intuitionistic fuzzy methods in software reliability modelling, Journal of Sustainable Energy1(1) (2010), 30\u201334.","journal-title":"Journal of Sustainable Energy"},{"key":"e_1_3_1_3_2","volume-title":"Incorporating hybrid CDSS in primary care practice management","author":"Basu R.","year":"2011","unstructured":"BasuR., Fevrier-ThomasU., and SartipiK., Incorporating hybrid CDSS in primary care practice management, McMaster eBusiness Research Centre (MeRC), DeGroote School of Business, McMaster University, Canada, 2011."},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458185"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(98)00235-8"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/1882992.1883012"},{"key":"e_1_3_1_7_2","first-page":"1246","article-title":"An overview of recent health care support systems for eE-mergency and mHealth applications","author":"Kyriacou E.C.","year":"2009","unstructured":"KyriacouE.C., PattichisC.S., and PattichisM.S., An overview of recent health care support systems for eE-mergency and mHealth applications, in: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minneapolis, Minnesota, USA, 2009, pp. 1246\u20131249.","journal-title":"in: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society"},{"issue":"35","key":"e_1_3_1_8_2","first-page":"1741","article-title":"Fuzzy max-min composition technique in medical diagnosis","volume":"6","author":"Samuel A.E.","year":"2012","unstructured":"SamuelA.E., and BalamuruganM., Fuzzy max-min composition technique in medical diagnosis, Applied Mathematical Sciences6(35) (2012), 1741\u20131746.","journal-title":"Applied Mathematical Sciences"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.07.026"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2014.11.012"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-24844-6_56"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.12.042"},{"key":"e_1_3_1_13_2","unstructured":"University of California UCI Repository of Machine Learning Databases. 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