{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,28]],"date-time":"2025-09-28T04:07:37Z","timestamp":1759032457830,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030584481"},{"type":"electronic","value":"9783030584498"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-58449-8_7","type":"book-chapter","created":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T23:03:51Z","timestamp":1600211031000},"page":"98-112","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Inferring from an Imprecise Plackett\u2013Luce Model: Application to Label Ranking"],"prefix":"10.1007","author":[{"given":"Lo\u00efc","family":"Adam","sequence":"first","affiliation":[]},{"given":"Arthur","family":"Van Camp","sequence":"additional","affiliation":[]},{"given":"S\u00e9bastien","family":"Destercke","sequence":"additional","affiliation":[]},{"given":"Benjamin","family":"Quost","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,16]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","DOI":"10.1002\/9781118763117","volume-title":"Introduction to Imprecise Probabilities","author":"T Augustin","year":"2014","unstructured":"Augustin, T., Coolen, F.P., De Cooman, G., Troffaes, M.C.: Introduction to Imprecise Probabilities. Wiley, Hoboken (2014)"},{"key":"7_CR2","unstructured":"Soufani, H.A., Parkes, D.C., Xia, L.: Random utility theory for social choice. In: Advances in Neural Information Processing Systems, pp. 126\u2013134 (2012)"},{"issue":"2","key":"7_CR3","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/S0148-2963(99)00058-2","volume":"51","author":"G Baltas","year":"2001","unstructured":"Baltas, G., Doyle, P.: Random utility models in marketing research: a survey. J. Bus. Res. 51(2), 115\u2013125 (2001)","journal-title":"J. Bus. Res."},{"key":"7_CR4","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1007\/978-3-030-50143-3_8","volume-title":"Information Processing and Management of Uncertainty in Knowledge-Based Systems","author":"Y-C Carranza-Alarcon","year":"2020","unstructured":"Carranza-Alarcon, Y.-C., Messoudi, S., Destercke, S.: Cautious label-wise ranking with constraint satisfaction. In: Lesot, M.-J., et al. (eds.) IPMU 2020. CCIS, vol. 1238, pp. 96\u2013111. Springer, Cham (2020). \nhttps:\/\/doi.org\/10.1007\/978-3-030-50143-3_8"},{"key":"7_CR5","unstructured":"Cattaneo, M.: Statistical Decisions Based Directly on the Likelihood Function. Ph.D. Thesis, ETH Zurich (2007)"},{"key":"7_CR6","unstructured":"Cheng, W., Dembczynski, K., H\u00fcllermeier, E.: Label ranking methods based on the Plackett-Luce model. In: Proceedings of the 27th Annual International Conference on Machine Learning - ICML (2010)"},{"key":"7_CR7","unstructured":"Cheng, W., H\u00fcllermeier, E., Dembczynski, K.J.: Label ranking methods based on the plackett-luce model. In: Proceedings of the 27th International Conference on Machine Learning, ICML-10, pp. 215\u2013222 (2010)"},{"key":"7_CR8","unstructured":"Cheng, W., H\u00fcllermeier, E., Waegeman, W., Welker, V.: Label ranking with partial abstention based on thresholded probabilistic models. In: Advances in Neural Information Processing Systems 25, NIPS-12, pp. 2510\u20132518 (2012)"},{"key":"7_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1007\/978-3-642-15880-3_20","volume-title":"Machine Learning and Knowledge Discovery in Databases","author":"W Cheng","year":"2010","unstructured":"Cheng, W., Rademaker, M., De Baets, B., H\u00fcllermeier, E.: Predicting partial orders: ranking with abstention. In: Balc\u00e1zar, J.L., Bonchi, F., Gionis, A., Sebag, M. (eds.) ECML PKDD 2010. LNCS (LNAI), vol. 6321, pp. 215\u2013230. Springer, Heidelberg (2010). \nhttps:\/\/doi.org\/10.1007\/978-3-642-15880-3_20"},{"key":"7_CR10","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1142\/S0218488594000146","volume":"2","author":"L de Campos","year":"1994","unstructured":"de Campos, L., Huete, J., Moral, S.: Probability intervals: a tool for uncertain reasoning. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 2, 167\u2013196 (1994)","journal-title":"Int. J. Uncertain. Fuzziness Knowl. Based Syst."},{"issue":"3","key":"7_CR11","doi-asserted-by":"publisher","first-page":"927","DOI":"10.1016\/j.ejor.2015.05.005","volume":"246","author":"S Destercke","year":"2015","unstructured":"Destercke, S., Masson, M.-H., Poss, M.: Cautious label ranking with label-wise decomposition. Eur. J. Oper. Res. 246(3), 927\u2013935 (2015)","journal-title":"Eur. J. Oper. Res."},{"key":"7_CR12","doi-asserted-by":"publisher","unstructured":"F\u00fcrnkranz, J., H\u00fcllermeier, E. (eds.): Preference Learning. Springer, Heidelberg (2011). \nhttps:\/\/doi.org\/10.1007\/978-3-642-14125-6","DOI":"10.1007\/978-3-642-14125-6"},{"key":"7_CR13","unstructured":"Gu, J., Yin, G.: Fast algorithm for generalized multinomial models with ranking data. In: Chaudhuri, K., Salakhutdinov, R. (eds.) Proceedings of the 36th International Conference on Machine Learning, volume 97 of Proceedings of Machine Learning Research, Long Beach, California, USA, 9\u201315 June 2019, pp. 2445\u20132453. PMLR (2019)"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Guiver, J., Snelson, E.: Bayesian inference for Plackett-Luce ranking models. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 377\u2013384. ACM (2009)","DOI":"10.1145\/1553374.1553423"},{"key":"7_CR15","doi-asserted-by":"publisher","first-page":"1897","DOI":"10.1016\/j.artint.2008.08.002","volume":"172","author":"E H\u00fcllermeier","year":"2008","unstructured":"H\u00fcllermeier, E., Furnkranz, J., Cheng, W., Brinker, K.: Label ranking by learning pairwise preferences. Artif. Intell. 172, 1897\u20131916 (2008)","journal-title":"Artif. Intell."},{"issue":"1","key":"7_CR16","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1214\/aos\/1079120141","volume":"32","author":"DR Hunter","year":"2004","unstructured":"Hunter, D.R., et al.: MM algorithms for generalized Bradley-Terry models. Ann. Stat. 32(1), 384\u2013406 (2004)","journal-title":"Ann. Stat."},{"key":"7_CR17","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1016\/j.ijar.2017.06.012","volume":"88","author":"T Krak","year":"2017","unstructured":"Krak, T., De Bock, J., Siebes, A.: Imprecise continuous-time Markov chains. Int. J. Approx. Reason. 88, 452\u2013528 (2017)","journal-title":"Int. J. Approx. Reason."},{"key":"7_CR18","volume-title":"The Enterprise of Knowledge","author":"I Levi","year":"1980","unstructured":"Levi, I.: The Enterprise of Knowledge. MIT Press, London (1980)"},{"key":"7_CR19","volume-title":"Analyzing and Modeling Rank Data","author":"J Marden","year":"1996","unstructured":"Marden, J.: Analyzing and Modeling Rank Data, vol. 64. Chapman & Hall\/CRC, London (1996)"},{"key":"7_CR20","unstructured":"Maystre, L., Grossglauser, M.: Fast and accurate inference of Plackett-Luce models. In: Advances in Neural Information Processing systems, pp. 172\u2013180 (2015)"},{"key":"7_CR21","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1037\/h0070288","volume":"34","author":"L Thurstone","year":"1927","unstructured":"Thurstone, L.: A law of comparative judgment. Psychol. Rev. 34, 273\u2013286 (1927)","journal-title":"Psychol. Rev."},{"issue":"3","key":"7_CR22","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1002\/int.20140","volume":"21","author":"M Troffaes","year":"2006","unstructured":"Troffaes, M.: Generalising the conjunction rule for aggregating conflicting expert opinions. Int. J. Intell. Syst. 21(3), 361\u2013380 (2006)","journal-title":"Int. J. Intell. Syst."},{"key":"7_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-3472-7","volume-title":"Statistical Reasoning with Imprecise Probabilities","author":"P Walley","year":"1991","unstructured":"Walley, P.: Statistical Reasoning with Imprecise Probabilities. Chapman and Hall, New York (1991)"},{"issue":"2","key":"7_CR24","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/0022-2496(77)90026-8","volume":"15","author":"JI Yellott Jr","year":"1977","unstructured":"Yellott Jr., J.I.: The relationship between Luce\u2019s Choice Axiom, Thurstone\u2019s Theory of Comparative Judgment, and the double exponential distribution. J. Math. Psychol. 15(2), 109\u2013144 (1977)","journal-title":"J. Math. Psychol."}],"container-title":["Lecture Notes in Computer Science","Scalable Uncertainty Management"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58449-8_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,15]],"date-time":"2020-09-15T23:04:26Z","timestamp":1600211066000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-58449-8_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030584481","9783030584498"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58449-8_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"16 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SUM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Scalable Uncertainty Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Bozen-Bolzano","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sum2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sum2020.inf.unibz.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"30","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"12","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"40% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3,2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}