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Therefore, different weights need to be associated to context elements with reference to their importance to the inference process. In this paper, a new proposal for weighting u-learning context elements is detailed. The solution aims to merge different expert opinions about context elements weighting for situation description. Evidence theory is applied in order to handle uncertain and conflicting expert opinions. Experimental results are given to illustrate the applicability of the proposed solution in selecting characteristic context elements appropriate for each u-learning situation pattern and distinguishing them from others.<\/jats:p>","DOI":"10.1142\/s0219622017500407","type":"journal-article","created":{"date-parts":[[2017,12,15]],"date-time":"2017-12-15T02:20:25Z","timestamp":1513304425000},"page":"247-309","source":"Crossref","is-referenced-by-count":2,"title":["Context Weighting for Ubiquitous Learning Situation Description: Approach Based on Combination of Weighted Experts\u2019 Opinions"],"prefix":"10.1142","volume":"17","author":[{"given":"Raoudha","family":"Souabni","sequence":"first","affiliation":[{"name":"RIADI Research Laboratory, National School of Computer Sciences, Manouba University, Manouba 2010, Tunisia"}]},{"given":"Ines Bayoudh","family":"Sa\u00e2di","sequence":"additional","affiliation":[{"name":"RIADI Research Laboratory, National School of Computer Sciences, Manouba University, Manouba 2010, Tunisia"}]},{"family":"Kinshuk","sequence":"additional","affiliation":[{"name":"College of Information, University of North Texas, Denton, Texas 76201, USA"}]},{"given":"Henda Ben","family":"Ghezala","sequence":"additional","affiliation":[{"name":"RIADI Research Laboratory, National School of Computer Sciences, Manouba University, Manouba 2010, Tunisia"}]}],"member":"219","published-online":{"date-parts":[[2018,1,30]]},"reference":[{"key":"S0219622017500407BIB001","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2729.2012.00481.x"},{"key":"S0219622017500407BIB002","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2010.07.004"},{"key":"S0219622017500407BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/S0097-8493(99)00120-X"},{"key":"S0219622017500407BIB004","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2012.04.003"},{"key":"S0219622017500407BIB005","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2729.2009.00329.x"},{"key":"S0219622017500407BIB006","doi-asserted-by":"publisher","DOI":"10.1080\/10494820.2012.745425"},{"key":"S0219622017500407BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2011.01.004"},{"key":"S0219622017500407BIB008","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622012400044"},{"key":"S0219622017500407BIB009","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622004001124"},{"key":"S0219622017500407BIB010","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622011004713"},{"key":"S0219622017500407BIB011","doi-asserted-by":"publisher","DOI":"10.1142\/S0219622014500242"},{"key":"S0219622017500407BIB012","doi-asserted-by":"publisher","DOI":"10.1142\/S021962201550025X"},{"key":"S0219622017500407BIB013","doi-asserted-by":"publisher","DOI":"10.1111\/j.1539-6924.1999.tb00399.x"},{"key":"S0219622017500407BIB014","doi-asserted-by":"publisher","DOI":"10.3846\/20294913.2016.1210694"},{"key":"S0219622017500407BIB015","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2013.11.035"},{"key":"S0219622017500407BIB017","doi-asserted-by":"publisher","DOI":"10.1109\/65.313011"},{"key":"S0219622017500407BIB018","doi-asserted-by":"publisher","DOI":"10.1109\/98.626984"},{"key":"S0219622017500407BIB020","doi-asserted-by":"publisher","DOI":"10.1109\/TLT.2012.11"},{"key":"S0219622017500407BIB022","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1201\/b12461","volume-title":"Situation Awareness Analysis and Measurement","author":"Endsley M. 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