{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T09:32:42Z","timestamp":1776936762898,"version":"3.51.4"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031399640","type":"print"},{"value":"9783031399657","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-39965-7_61","type":"book-chapter","created":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T16:01:37Z","timestamp":1692547297000},"page":"737-748","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A New Two-Sample Location Test for\u00a0Fuzzy Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5191-4123","authenticated-orcid":false,"given":"Przemyslaw","family":"Grzegorzewski","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Milena","family":"Zacharczuk","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,21]]},"reference":[{"key":"61_CR1","doi-asserted-by":"publisher","unstructured":"Blanco-Fern\u00e1ndez, A., et al.: A distance-based statistical analysis of fuzzy number-valued data. Int. J. Approximate Reason. 55(7), 1487\u20131501 (2014). https:\/\/doi.org\/10.1016\/j.ijar.2013.09.020","DOI":"10.1016\/j.ijar.2013.09.020"},{"issue":"19","key":"61_CR2","doi-asserted-by":"publisher","first-page":"9491","DOI":"10.1007\/s00500-019-03800-2","volume":"23","author":"L Coroianu","year":"2019","unstructured":"Coroianu, L., Gagolewski, M., Grzegorzewski, P.: Piecewise linear approximation of fuzzy numbers: algorithms, arithmetic operations and stability of characteristics. Soft. Comput. 23(19), 9491\u20139505 (2019). https:\/\/doi.org\/10.1007\/s00500-019-03800-2","journal-title":"Soft. Comput."},{"key":"61_CR3","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1016\/0020-0255(83)90025-7","volume":"30","author":"D Dubois","year":"1983","unstructured":"Dubois, D., Prade, H.: Ranking fuzzy numbers in the setting of possibility theory. Inf. Sci. 30, 183\u2013224 (1983). https:\/\/doi.org\/10.1016\/0020-0255(83)90025-7","journal-title":"Inf. Sci."},{"key":"61_CR4","unstructured":"Gadomska, O.: Goodness-of-fit test for fuzzy data. Master\u2019s thesis, Warsaw University of Technology (2021)"},{"key":"61_CR5","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1007\/s001840100160","volume":"56","author":"MA Gil","year":"2002","unstructured":"Gil, M.A., Lubiano, M., Montenegro, M., L\u00f3pez, M.: Least squares fitting of an affine function and strength of association for interval-valued data. Metrika 56, 97\u2013111 (2002). https:\/\/doi.org\/10.1007\/s001840100160","journal-title":"Metrika"},{"issue":"19","key":"61_CR6","doi-asserted-by":"publisher","first-page":"2608","DOI":"10.1016\/j.fss.2003.11.021","volume":"157","author":"G Gonz\u00e1lez-Rodr\u00edguez","year":"2006","unstructured":"Gonz\u00e1lez-Rodr\u00edguez, G., Montenegro, M., Colubi, A., \u00c1ngeles Gil, M.: Bootstrap techniques and fuzzy random variables: synergy in hypothesis testing with fuzzy data. Fuzzy Sets Syst. 157(19), 2608\u20132613 (2006). https:\/\/doi.org\/10.1016\/j.fss.2003.11.021","journal-title":"Fuzzy Sets Syst."},{"key":"61_CR7","doi-asserted-by":"publisher","unstructured":"Grzegorzewski, P.: Distribution-free tests for vague data. In: Lopez-Diaz, M., Gil, M., Grzegorzewski, P., Hryniewicz, O., Lawry, J. (eds.) Soft Methodology and Random Information Systems, pp. 495\u2013502 (2004). https:\/\/doi.org\/10.1007\/978-3-540-44465-7_61","DOI":"10.1007\/978-3-540-44465-7_61"},{"key":"61_CR8","doi-asserted-by":"publisher","unstructured":"Grzegorzewski, P.: Permutation k-sample goodness-of-fit test for fuzzy data. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1\u20138 (2020). https:\/\/doi.org\/10.1109\/FUZZ48607.2020.9177765","DOI":"10.1109\/FUZZ48607.2020.9177765"},{"key":"61_CR9","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1007\/978-3-030-50153-2_7","volume-title":"Information Processing and Management of Uncertainty in Knowledge-Based Systems","author":"P Grzegorzewski","year":"2020","unstructured":"Grzegorzewski, P.: Two-sample dispersion problem for fuzzy data. In: Lesot, M.-J., Vieira, S., Reformat, M.Z., Carvalho, J.P., Wilbik, A., Bouchon-Meunier, B., Yager, R.R. (eds.) IPMU 2020. CCIS, vol. 1239, pp. 82\u201396. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-50153-2_7"},{"key":"61_CR10","doi-asserted-by":"publisher","unstructured":"Grzegorzewski, P.: Two-sample test for comparing ambiguity in fuzzy data. In: 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1\u20138 (2022). https:\/\/doi.org\/10.1109\/FUZZ-IEEE55066.2022.9882757","DOI":"10.1109\/FUZZ-IEEE55066.2022.9882757"},{"key":"61_CR11","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1007\/978-3-031-15509-3_27","volume-title":"Building BridgePaired sample test for fuzzy datas between Soft and Statistical Methodologies for Data Science","author":"P Grzegorzewski","year":"2023","unstructured":"Grzegorzewski, P.: Paired sample test for fuzzy data. In: Garc\u00eda-Escudero, L.A., et al. (eds.) SMPS 2022. Advances in Intelligent Systems and Computing, vol. 1433, pp. 200\u2013207. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-15509-3_27"},{"key":"61_CR12","doi-asserted-by":"publisher","unstructured":"Grzegorzewski, P., Gadomska, O.: Nearest neighbor tests for fuzzy data. In: 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1\u20136 (2021). https:\/\/doi.org\/10.1109\/FUZZ45933.2021.9494432","DOI":"10.1109\/FUZZ45933.2021.9494432"},{"issue":"4","key":"61_CR13","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1109\/TFUZZ.2018.2866811","volume":"27","author":"G Hesamian","year":"2019","unstructured":"Hesamian, G., Akbari, M.G., Yaghoobpoor, R.: Quality control process based on fuzzy random variables. IEEE Trans. Fuzzy Syst. 27(4), 671\u2013685 (2019). https:\/\/doi.org\/10.1109\/TFUZZ.2018.2866811","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"61_CR14","first-page":"205","volume":"10","author":"M Hukuhara","year":"1967","unstructured":"Hukuhara, M.: Integration des applications measurables dont la valeur est un compact convexe. Funkcialaj Ekvacioj 10, 205\u2013223 (1967)","journal-title":"Funkcialaj Ekvacioj"},{"key":"61_CR15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-39987-2","volume-title":"Uncertainty Theory: An Introduction to its Axiomatic Foundations","author":"B Liu","year":"2004","unstructured":"Liu, B.: Uncertainty Theory: An Introduction to its Axiomatic Foundations. Springer, Heidelberg (2004). https:\/\/doi.org\/10.1007\/978-3-540-39987-2"},{"key":"61_CR16","doi-asserted-by":"publisher","unstructured":"Lubiano, M.A., Montenegro, M., Sinova, B., de la Rosa de S\u00e1a, S., Gil, M.N.: Hypothesis testing for means in connection with fuzzy rating scale-based data: algorithms and applications. Eur. J. Oper. Res. 251(3), 918\u2013929 (2016). https:\/\/doi.org\/10.1016\/j.ejor.2015.11.016","DOI":"10.1016\/j.ejor.2015.11.016"},{"key":"61_CR17","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1214\/aoms\/1177730491","volume":"18","author":"HB Mann","year":"1947","unstructured":"Mann, H.B., Whitney, D.R.: On a test whether one of two random variables is stochastically larger than the other. Ann. Math. Stat. 18, 50\u201360 (1947)","journal-title":"Ann. Math. Stat."},{"issue":"1","key":"61_CR18","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1007\/s001840300270","volume":"59","author":"M Montenegro","year":"2004","unstructured":"Montenegro, M., Colubi, A., Casals, M., Gil, M.: Asymptotic and bootstrap techniques for testing the expected value of a fuzzy random variable. Metrika 59(1), 31\u201349 (2004). https:\/\/doi.org\/10.1007\/s001840300270","journal-title":"Metrika"},{"issue":"2","key":"61_CR19","doi-asserted-by":"publisher","first-page":"409","DOI":"10.1016\/0022-247X(86)90093-4","volume":"114","author":"ML Puri","year":"1986","unstructured":"Puri, M.L., Ralescu, D.A.: Fuzzy random variables. J. Math. Anal. Appl. 114(2), 409\u2013422 (1986). https:\/\/doi.org\/10.1016\/0022-247X(86)90093-4","journal-title":"J. Math. Anal. Appl."},{"issue":"8","key":"61_CR20","doi-asserted-by":"publisher","first-page":"1249","DOI":"10.1016\/j.jspi.2013.03.018","volume":"143","author":"GJ Sz\u00e9kely","year":"2013","unstructured":"Sz\u00e9kely, G.J., Rizzo, M.L.: Energy statistics: a class of statistics based on distances. J. Stat. Plann. Inference 143(8), 1249\u20131272 (2013). https:\/\/doi.org\/10.1016\/j.jspi.2013.03.018","journal-title":"J. Stat. Plann. Inference"},{"key":"61_CR21","doi-asserted-by":"publisher","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon, F.: Individual comparisons by ranking methods. Biometrics 1, 80\u201383 (1945)","journal-title":"Biometrics"},{"issue":"23","key":"61_CR22","doi-asserted-by":"publisher","first-page":"3964","DOI":"10.1016\/j.ins.2009.06.023","volume":"179","author":"T Wolfgang","year":"2009","unstructured":"Wolfgang, T., Gil, G.R., Ana, C., Mar\u00eda \u00c1ngeles, G.: A new family of metrics for compact, convex (fuzzy) sets based on a generalized concept of mid and spread. Inf. Sci. 179(23), 3964\u20133972 (2009). https:\/\/doi.org\/10.1016\/j.ins.2009.06.023","journal-title":"Inf. Sci."}],"container-title":["Lecture Notes in Computer Science","Fuzzy Logic and Technology, and Aggregation Operators"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39965-7_61","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T16:06:29Z","timestamp":1692547589000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39965-7_61"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031399640","9783031399657"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39965-7_61","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"21 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EUSFLAT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Conference of the European Society for Fuzzy Logic and Technology","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Palma de Mallorca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eusflat2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.eusflat2023.eu\/","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":"161","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":"71","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":"44% - 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":"2","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)"}}]}}