{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T16:43:41Z","timestamp":1743007421520,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030501426"},{"type":"electronic","value":"9783030501433"}],"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\/978-3-030-50143-3_48","type":"book-chapter","created":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T21:03:01Z","timestamp":1591390981000},"page":"603-617","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Bidirectional Subsethood Based Fuzzy\u00a0Measure for Aggregation of\u00a0Interval-Valued Data"],"prefix":"10.1007","author":[{"given":"Shaily","family":"Kabir","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Wagner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,5]]},"reference":[{"key":"48_CR1","doi-asserted-by":"crossref","unstructured":"Anderson, D.T., Havens, T.C., Wagner, C., Keller, J.M., Anderson, M.F., Wescott, D.J.: Sugeno fuzzy integral generalizations for sub-normal fuzzy set-valued inputs. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 1\u20138 (2012)","DOI":"10.1109\/FUZZ-IEEE.2012.6250827"},{"key":"48_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1007\/978-3-642-14049-5_52","volume-title":"Computational Intelligence for Knowledge-Based Systems Design","author":"DT Anderson","year":"2010","unstructured":"Anderson, D.T., Keller, J.M., Havens, T.C.: Learning fuzzy-valued fuzzy measures for the fuzzy-valued sugeno fuzzy integral. In: H\u00fcllermeier, E., Kruse, R., Hoffmann, F. (eds.) IPMU 2010. LNCS (LNAI), vol. 6178, pp. 502\u2013511. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-14049-5_52"},{"issue":"1","key":"48_CR3","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1002\/ajpa.21190","volume":"142","author":"MF Anderson","year":"2010","unstructured":"Anderson, M.F., Anderson, D.T., Wescott, D.J.: Estimation of adult skeletal age-at-death using the sugeno fuzzy integral. Am. J. Phys. Anthropol. 142(1), 30\u201341 (2010)","journal-title":"Am. J. Phys. Anthropol."},{"issue":"1","key":"48_CR4","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.fss.2008.07.004","volume":"160","author":"G Beliakov","year":"2009","unstructured":"Beliakov, G.: Construction of aggregation functions from data using linear programming. Fuzzy Sets Syst. 160(1), 65\u201375 (2009)","journal-title":"Fuzzy Sets Syst."},{"key":"48_CR5","doi-asserted-by":"publisher","first-page":"131","DOI":"10.5802\/aif.53","volume":"5","author":"G Choquet","year":"1954","unstructured":"Choquet, G.: Theory of capacities. Ann. de l\u2019institut Fourier 5, 131\u2013295 (1954)","journal-title":"Ann. de l\u2019institut Fourier"},{"issue":"3","key":"48_CR6","doi-asserted-by":"publisher","first-page":"297","DOI":"10.2307\/1932409","volume":"26","author":"LR Dice","year":"1945","unstructured":"Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297\u2013302 (1945)","journal-title":"Ecology"},{"key":"48_CR7","volume-title":"Fuzzy Sets and Systems: Theory and Applications","author":"D Dubois","year":"1980","unstructured":"Dubois, D., Prade, H.: Fuzzy Sets and Systems: Theory and Applications. Academic Press, New York (1980)"},{"key":"48_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1007\/11941354_17","volume-title":"Advances in Artificial Reality and Tele-Existence","author":"Y Feng","year":"2006","unstructured":"Feng, Y., Chen, Y., Wang, M.: Multi-sensor data fusion based on fuzzy integral in AR system. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds.) ICAT 2006. LNCS, vol. 4282, pp. 155\u2013162. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11941354_17"},{"key":"48_CR9","volume-title":"Fuzzy Measures and Integrals-Theory and Applications","author":"M Grabisch","year":"2000","unstructured":"Grabisch, M., Murofushi, T., Sugeno, M.: Fuzzy Measures and Integrals-Theory and Applications, vol. 40. Physica Verlag, Heidelberg (2000)"},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Havens, T.C., Anderson, D.T., Keller, J.M.: A fuzzy choquet integral with an interval type-2 fuzzy number-valued integrand. In: Proceedings of the IEEE International Conference on Fuzzy Systems, Barcelona, Spain, pp. 1\u20138 (2010)","DOI":"10.1109\/FUZZY.2010.5584291"},{"issue":"5","key":"48_CR11","doi-asserted-by":"publisher","first-page":"1861","DOI":"10.1109\/TFUZZ.2014.2382133","volume":"23","author":"TC Havens","year":"2015","unstructured":"Havens, T.C., Anderson, D.T., Wagner, C.: Data-informed fuzzy measures for fuzzy integration of intervals and fuzzy numbers. IEEE Trans. Fuzzy Syst. 23(5), 1861\u20131875 (2015)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"48_CR12","doi-asserted-by":"crossref","unstructured":"Havens, T.C., Anderson, D.T., Wagner, C., Deilamsalehy, H., Wonnacott, D.: Fuzzy integrals of crowd-sourced intervals using a measure of generalized accord. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 1\u20138 (2013)","DOI":"10.1109\/FUZZ-IEEE.2013.6622343"},{"key":"48_CR13","first-page":"223","volume":"44","author":"P Jaccard","year":"1908","unstructured":"Jaccard, P.: Nouvelles recherches sur la distribution florale. Bull. de la socit vaudoise des Sci. Nat. 44, 223\u2013270 (1908)","journal-title":"Bull. de la socit vaudoise des Sci. Nat."},{"key":"48_CR14","doi-asserted-by":"publisher","unstructured":"Kabir, S., Wagner, C., Havens, T.C., Anderson, D.T.: A similarity measure based on bidirectional subsethood for intervals. IEEE Trans. Fuzzy Syst. https:\/\/doi.org\/10.1109\/TFUZZ.2019.2945249","DOI":"10.1109\/TFUZZ.2019.2945249"},{"key":"48_CR15","doi-asserted-by":"crossref","unstructured":"Kabir, S., Wagner, C., Havens, T.C., Anderson, D.T., Aickelin, U.: Novel similarity measure for interval-valued data based on overlapping ratio. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 1\u20136 (2017)","DOI":"10.1109\/FUZZ-IEEE.2017.8015623"},{"issue":"7","key":"48_CR16","doi-asserted-by":"publisher","first-page":"927","DOI":"10.1016\/j.fss.2005.11.014","volume":"157","author":"P Meyer","year":"2006","unstructured":"Meyer, P., Roubens, M.: On the use of the choquet integral with fuzzy numbers in multiple criteria decision support. Fuzzy Sets Syst. 157(7), 927\u2013938 (2006)","journal-title":"Fuzzy Sets Syst."},{"issue":"2","key":"48_CR17","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/0165-0114(89)90194-2","volume":"29","author":"T Murofushi","year":"1989","unstructured":"Murofushi, T., Sugeno, M.: An interpretation of fuzzy measures and the choquet integral as an integral with respect to a fuzzy measure. Fuzzy Sets Syst. 29(2), 201\u2013227 (1989)","journal-title":"Fuzzy Sets Syst."},{"key":"48_CR18","unstructured":"Nguyen, H.T., Kreinovich, V.: Computing degrees of subsethood and similarity for interval-valued fuzzy sets: fast algorithms. In: Proceedings of the 9th International Conference on Intelligent Technologies, pp. 47\u201355 (2008)"},{"key":"48_CR19","unstructured":"Sugeno, M.: Theory of fuzzy integrals and its applications. Tokyo Institute of Technology (1974)"},{"key":"48_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-642-41154-0_1","volume-title":"Web Information Systems Engineering \u2013 WISE 2013","author":"N Quoc Viet Hung","year":"2013","unstructured":"Quoc Viet Hung, N., Tam, N.T., Tran, L.N., Aberer, K.: An evaluation of aggregation techniques in crowdsourcing. In: Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G. (eds.) WISE 2013. LNCS, vol. 8181, pp. 1\u201315. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-41154-0_1"},{"key":"48_CR21","doi-asserted-by":"crossref","unstructured":"Wagner, C., Anderson, D.T.: Extracting meta-measures from data for fuzzy aggregation of crowd sourced information. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 1\u20138 (2012)","DOI":"10.1109\/FUZZ-IEEE.2012.6251281"},{"key":"48_CR22","doi-asserted-by":"crossref","unstructured":"Wagner, C., Havens, T.C., Anderson, D.T.: The arithmetic recursive average as an instance of the recursive weighted power mean. In: Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 1\u20136 (2017)","DOI":"10.1109\/FUZZ-IEEE.2017.8015507"}],"container-title":["Communications in Computer and Information Science","Information Processing and Management of Uncertainty in Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-50143-3_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T01:26:33Z","timestamp":1722993993000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-50143-3_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030501426","9783030501433"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50143-3_48","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"5 June 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IPMU","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"15 June 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ipmu2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ipmu2020.inesc-id.pt\/","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":"213","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":"146","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":"27","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":"69% - 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":"4","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)"}},{"value":"The IPMU 2020 was held virtually due to the coronavirus pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}