{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T08:43:50Z","timestamp":1770281030400,"version":"3.49.0"},"reference-count":25,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2019,5,12]],"date-time":"2019-05-12T00:00:00Z","timestamp":1557619200000},"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":[[2019,6,11]]},"abstract":"<jats:p>\n                    In this paper, the problem of ranking multi-dimensional uncertain information based on fuzzy order is studied. At first, a specific fuzzy order on the fuzzy ellipsoid number space is defined, with which we can set up a dynamic ranking method which changes with the change of the level\n                    <jats:italic>r<\/jats:italic>\n                    for some objects which can be characterized by some multichannel uncertain digital information. Then its properties are investigated, some related results are obtained. And then, we give a practical example to show how to set up a dynamic ranking method which changes with the change of the level\n                    <jats:italic>r<\/jats:italic>\n                    for some objects which can be characterized by some multichannel uncertain digital information by using the fuzzy order proposed by us in the paper.\n                  <\/jats:p>","DOI":"10.3233\/jifs-18357","type":"journal-article","created":{"date-parts":[[2019,5,17]],"date-time":"2019-05-17T11:46:20Z","timestamp":1558093580000},"page":"6555-6566","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Dynamic ranking of multi-dimensional uncertain information based on fuzzy order on the fuzzy ellipsoid number space"],"prefix":"10.1177","volume":"36","author":[{"given":"Guixiang","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of Operations Research and Cybernetics, Hangzhou Dianzi University, Hangzhou, 310018, China"}]},{"given":"Xiaolian","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Operations Research and Cybernetics, Hangzhou Dianzi University, Hangzhou, 310018, China"}]},{"given":"Sen","family":"Qin","sequence":"additional","affiliation":[{"name":"Institute of Operations Research and Cybernetics, Hangzhou Dianzi University, Hangzhou, 310018, China"}]},{"given":"Guojing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Operations Research and Cybernetics, Hangzhou Dianzi University, Hangzhou, 310018, China"}]}],"member":"179","published-online":{"date-parts":[[2019,5,12]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-130811"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2010.09.007"},{"key":"e_1_3_2_4_2","first-page":"1","article-title":"Methods of solving optimization problems and linear equations in the space of fuzzy vectors","volume":"17","author":"Butnariu D.","year":"1997","unstructured":"D.Butnariu, Methods of solving optimization problems and linear equations in the space of fuzzy vectors, Libertas Math 17 (1997), 1\u20137.","journal-title":"Libertas Math"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1972.5408553"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2013.02.005"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.apm.2013.09.012"},{"key":"e_1_3_2_8_2","volume-title":"Metric Space of Fuzzy Sets","author":"Diamond P.","year":"1994","unstructured":"P.Diamond and P.Kloeden, Metric Space of Fuzzy Sets, World Scientific, Singapore, 1994."},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207727808941724"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/0165-0114(82)90025-2"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-120643"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/0165-0114(86)90026-6"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cam.2016.05.017"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-013-1541-5"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2012.12.016"},{"key":"e_1_3_2_16_2","author":"Kaufmann A.","year":"1985","unstructured":"A.Kaufmann and M.M.Gupta, Introduction to Fuzzy Arithmetic-Theory and Applications, Van Nostrand, Reinhold, NY, 1985.","journal-title":"Introduction to Fuzzy Arithmetic-Theory and Applications"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2016.03.002"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.01.023"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2016.2566814"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2006.09.006"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-162152"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2008.2012352"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1093\/imamci\/dnr032"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2013.2282167"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(02)00113-6"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-120710"}],"container-title":["Journal of Intelligent &amp; 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