{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T12:38:45Z","timestamp":1753274325453},"reference-count":43,"publisher":"World Scientific Pub Co Pte Lt","issue":"Suppl. 1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Unc. Fuzz. Knowl. Based Syst."],"published-print":{"date-parts":[[2015,12]]},"abstract":"<jats:p> When Statistics deals with data which cannot be expressed in a numerical scale, the scale of fuzzy values (in particular, the scale of fuzzy numbers) often becomes a suitable tool to express such data. In this way, many ratings, opinions, judgements, etc. mostly coming from human valuations can be appropriately described in terms of fuzzy data. To summarize the central tendency of a fuzzy dataset, some measures have been suggested in the literature. This paper aims to review some of the main ones, and examine their properties in a comparative way. A real-life example illustrates their application. Furthermore, the paper shows the statistical robustness (both through the finite sample breakdown point and a simulation study) and the empirical \u201cprecision\u201d of the fuzzy number-valued sample measures. Finally, some related developments and future directions are pointed out. <\/jats:p>","DOI":"10.1142\/s0218488515400097","type":"journal-article","created":{"date-parts":[[2016,1,8]],"date-time":"2016-01-08T04:42:53Z","timestamp":1452228173000},"page":"105-132","source":"Crossref","is-referenced-by-count":4,"title":["An Overview on the Statistical Central Tendency for Fuzzy Data Sets"],"prefix":"10.1142","volume":"23","author":[{"given":"Beatriz","family":"Sinova","sequence":"first","affiliation":[{"name":"Department of Statistics, O.R. and D.M., University of Oviedo, 33071 Asturias, Spain"},{"name":"Department of Applied Mathematics, Computer Science and Statistics, Ghent University, 9000 Gent, Belgium"}]},{"given":"Sara De La","family":"Rosa De S\u00e1a","sequence":"additional","affiliation":[{"name":"Department of Statistics, O.R. and D.M., University of Oviedo, 33071 Asturias, Spain"},{"name":"Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology, 1040 Vienna, Austria"}]},{"given":"Mar\u00eda Asunci\u00f3n","family":"Lubiano","sequence":"additional","affiliation":[{"name":"Department of Statistics, O.R. and D.M., University of Oviedo, 33071 Asturias, Spain"}]},{"given":"Mar\u00eda \u00c1ngeles","family":"Gil","sequence":"additional","affiliation":[{"name":"Department of Statistics, O.R. and D.M., University of Oviedo, 33071 Asturias, Spain"}]}],"member":"219","published-online":{"date-parts":[[2016,1,8]]},"reference":[{"key":"p_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0888-613X(03)00056-2"},{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2006.05.012"},{"key":"p_3","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2006.04.018"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1080\/00949655.2010.506439"},{"key":"p_5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.07.118"},{"key":"p_6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.04.008"},{"key":"p_7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2013.09.020"},{"key":"p_8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2014.04.003"},{"key":"p_11","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7373(88)80029-4"},{"key":"p_12","doi-asserted-by":"publisher","DOI":"10.1016\/0022-247X(86)90093-4"},{"key":"p_13","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2006.05.002"},{"key":"p_14","first-page":"5","volume":"30","author":"Gil M. 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