{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,25]],"date-time":"2026-01-25T00:05:20Z","timestamp":1769299520311,"version":"3.49.0"},"reference-count":73,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["72071049"],"award-info":[{"award-number":["72071049"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Statistical Scientific Key Research Project of China","award":["2021LZ33"],"award-info":[{"award-number":["2021LZ33"]}]},{"name":"Major Humanities and Social Sciences Research Projects in Zhejiang Universities","award":["2018QN058"],"award-info":[{"award-number":["2018QN058"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Info. Tech. Dec. Mak."],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:p> The concepts of relations and information measures have importance whenever we deal with medical diagnosis problems. The aim of this paper is to investigate the global pandemic COVID-19 scenario using relations and information measures in an interval-valued T-spherical fuzzy (IVTSF) environment. An IVTSF set (IVTSFS) allows describing four aspects of human opinions i.e., membership, abstinence, non-membership, and refusal grade that process information in a significant way and reduce information loss. We propose similarity measures and relations in the IVTSF environment and investigate their properties. Both information measures and relations are applied in a medical diagnosis problem keeping in view the global pandemic COVID-19. How to determine the diagnosis based on symptoms of a patient using similarity measures and relations is discussed. Finally, the advantages of dealing with such problems using the IVTSF framework are demonstrated with examples. <\/jats:p>","DOI":"10.1142\/s0219622022500122","type":"journal-article","created":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T15:36:45Z","timestamp":1648741005000},"page":"1033-1060","source":"Crossref","is-referenced-by-count":7,"title":["Methods for Detecting COVID-19 Patients Using Interval-Valued T-Spherical Fuzzy Relations and Information Measures"],"prefix":"10.1142","volume":"22","author":[{"given":"Yinyu","family":"Wang","sequence":"first","affiliation":[{"name":"College of Economic and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, P. R. 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