乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T01:10:43Z","timestamp":1743124243113,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030886004"},{"type":"electronic","value":"9783030886011"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-88601-1_20","type":"book-chapter","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T01:06:41Z","timestamp":1634087201000},"page":"197-206","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Conflict Measure of Belief Functions with Blurred Focal Elements on the Real Line"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1051-2857","authenticated-orcid":false,"given":"Alexander","family":"Lepskiy","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,13]]},"reference":[{"key":"20_CR1","doi-asserted-by":"publisher","first-page":"1113","DOI":"10.1016\/j.procs.2015.07.079","volume":"55","author":"A Bronevich","year":"2015","unstructured":"Bronevich, A., Lepskiy, A., Penikas, H.: The application of conflict measure to estimating incoherence of analyst\u2019s forecasts about the cost of shares of Russian companies. Procedia Comput. Sci. 55, 1113\u20131122 (2015)","journal-title":"Procedia Comput. Sci."},{"key":"20_CR2","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1214\/aoms\/1177698950","volume":"38","author":"AP Dempster","year":"1967","unstructured":"Dempster, A.P.: Upper and lower probabilities induced by multivalued mapping. Ann. Math. Stat. 38, 325\u2013339 (1967)","journal-title":"Ann. Math. Stat."},{"key":"20_CR3","unstructured":"Hodari, D.: Oil prices seen remaining subdued into 2021. The Wall Street Journal, 28 November 2020. https:\/\/www.wsj.com\/articles\/oil-prices-seen-remaining-subdued-into-2021-11606490833. Accessed 1 Mar 2021"},{"key":"20_CR4","volume-title":"Fuzzy Sets and Fuzzy Logic: Theory and Applications","author":"GJ Klir","year":"1995","unstructured":"Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall PTR, Hoboken (1995)"},{"issue":"1","key":"20_CR5","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1080\/03081079008935126","volume":"18","author":"R Kruse","year":"1990","unstructured":"Kruse, R., Schwecke, E.: Specialization: a new concept for uncertainty handling with belief functions. Int. J. Gen. Syst. 18(1), 49\u201360 (1990)","journal-title":"Int. J. Gen. Syst."},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Lepskiy, A.: About relation between the measure of conflict and decreasing of ignorance in theory of evidence. In: Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, pp. 355\u2013362. Atlantis Press, Amsterdam (2013)","DOI":"10.2991\/eusflat.2013.56"},{"key":"20_CR7","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/978-3-319-11191-9_4","volume-title":"Belief Functions: Theory and Applications","author":"A Lepskiy","year":"2014","unstructured":"Lepskiy, A.: General schemes of combining rules and the quality characteristics of combining. In: Cuzzolin, F. (ed.) BELIEF 2014. LNCS (LNAI), vol. 8764, pp. 29\u201338. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-11191-9_4"},{"key":"20_CR8","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1007\/978-3-319-42972-4_39","volume-title":"Soft Methods for Data Science","author":"A Lepskiy","year":"2017","unstructured":"Lepskiy, A.: The qualitative characteristics of combining evidence with discounting. In: Ferraro, M.B., et al. (eds.) Soft Methods for Data Science. AISC, vol. 456, pp. 311\u2013318. Springer, Cham (2017). https:\/\/doi.org\/10.1007\/978-3-319-42972-4_39"},{"key":"20_CR9","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1007\/978-3-319-99383-6_22","volume-title":"Belief Functions: Theory and Applications","author":"A Lepskiy","year":"2018","unstructured":"Lepskiy, A.: On the conflict measures agreed with the combining rules. In: Destercke, S., Denoeux, T., Cuzzolin, F., Martin, A. (eds.) BELIEF 2018. LNCS (LNAI), vol. 11069, pp. 172\u2013180. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-99383-6_22"},{"key":"20_CR10","doi-asserted-by":"publisher","DOI":"10.1515\/9780691214696","volume-title":"A Mathematical Theory of Evidence","author":"G Shafer","year":"1976","unstructured":"Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press, Princeton (1976)"},{"issue":"3","key":"20_CR11","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.ijar.2005.04.001","volume":"40","author":"P Smets","year":"2005","unstructured":"Smets, P.: Belief functions on real numbers. Int. J. Approximate Reasoning 40(3), 181\u2013223 (2005)","journal-title":"Int. J. Approximate Reasoning"},{"key":"20_CR12","doi-asserted-by":"publisher","first-page":"821","DOI":"10.1002\/int.10118","volume":"18","author":"E Straszecka","year":"2003","unstructured":"Straszecka, E.: An interpretation of focal elements as fuzzy sets. Int. J. Intell. Syst. 18, 821\u2013835 (2003)","journal-title":"Int. J. Intell. Syst."},{"key":"20_CR13","series-title":"Studies in Fuzziness and Soft Computing","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1007\/978-3-540-44792-4_21","volume-title":"Classic Works of the Dempster-Shafer Theory of Belief Functions","author":"J Yen","year":"2008","unstructured":"Yen, J.: Generalizing the Dempster-Shafer theory to fuzzy sets. In: Yager, R.R., Liu, L. (eds.) Classic Works of the Dempster-Shafer Theory of Belief Functions. Studies in Fuzziness and Soft Computing, vol. 219, pp. 529\u2013554. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-44792-4_21"},{"key":"20_CR14","first-page":"51","volume-title":"Advances in the Dempster-Shafer Theory of Evidence","author":"L Zhang","year":"1994","unstructured":"Zhang, L.: Representation, independence and combination of evidence in the Dempster-Shafer theory. In: Yager, R.R., et al. (eds.) Advances in the Dempster-Shafer Theory of Evidence, pp. 51\u201369. Wiley, New York (1994)"}],"container-title":["Lecture Notes in Computer Science","Belief Functions: Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-88601-1_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T08:36:40Z","timestamp":1710232600000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-88601-1_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030886004","9783030886011"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-88601-1_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"13 October 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BELIEF","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Belief Functions","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 October 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 October 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"belief2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.lgi2a.univ-artois.fr\/events\/belief2021\/","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":"37","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":"30","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":"0","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":"81% - 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","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)"}}]}}