{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,27]],"date-time":"2025-09-27T17:02:13Z","timestamp":1758992533881,"version":"3.40.3"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031399640"},{"type":"electronic","value":"9783031399657"}],"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_15","type":"book-chapter","created":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T16:01:37Z","timestamp":1692547297000},"page":"174-184","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Root Cause Analysis with Fuzzy Cognitive Maps and Correlation Coefficient"],"prefix":"10.1007","author":[{"given":"Theodoros","family":"Tziolas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Konstantinos","family":"Papageorgiou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6938-1399","authenticated-orcid":false,"given":"Theodosios","family":"Theodosiou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aikaterini","family":"Rapti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Theofilos","family":"Mastos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angelos","family":"Papadopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2498-9661","authenticated-orcid":false,"given":"Elpiniki","family":"Papageorgiou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,21]]},"reference":[{"key":"15_CR1","unstructured":"Inglis, J.: Hydraulic lifts. In: Elevator Technology 6 Proceedings of Elevcon 1995, p. 153 (1995)"},{"key":"15_CR2","doi-asserted-by":"publisher","unstructured":"Kumar, R., Dwivedi, P.K., Praveen Reddy, D., Das, A.S.: Design and implementation of hydraulic motor based elevator system. In: 2014 IEEE 6th India International Conference on Power Electronics (IICPE), pp. 1\u20136 (2014). https:\/\/doi.org\/10.1109\/IICPE.2014.7115821","DOI":"10.1109\/IICPE.2014.7115821"},{"key":"15_CR3","doi-asserted-by":"publisher","unstructured":"Xu, X., Wang, Q.: Speed control of hydraulic elevator by using PID controller and self-tuning fuzzy PID controller. In: 2017 32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC), pp. 812\u2013817 (2017). https:\/\/doi.org\/10.1109\/YAC.2017.7967521","DOI":"10.1109\/YAC.2017.7967521"},{"key":"15_CR4","doi-asserted-by":"publisher","unstructured":"Murthy, A.S., Taylor, D.G.: Control of a hydraulic elevator with a variable-speed pump. In: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, pp. 2245\u20132250 (2018). https:\/\/doi.org\/10.1109\/IECON.2018.8591577","DOI":"10.1109\/IECON.2018.8591577"},{"key":"15_CR5","doi-asserted-by":"publisher","unstructured":"Tziolas, T., Papageorgiou, K., Theodosiou, T., Papageorgiou, E., Mastos, T., Papadopoulos, A.: Autoencoders for anomaly detection in an industrial multivariate time series dataset. Eng. Proc. 18 (2022). https:\/\/doi.org\/10.3390\/engproc2022018023","DOI":"10.3390\/engproc2022018023"},{"key":"15_CR6","unstructured":"Sol\u00e9, M., Munt\u00e9s-Mulero, V., Rana, A.I., Estrada, G.: Survey on models and techniques for root-cause analysis. arXiv preprint arXiv:1701.08546 (2017)"},{"key":"15_CR7","doi-asserted-by":"publisher","first-page":"524","DOI":"10.1159\/000508677","volume":"29","author":"J Martin-Delgado","year":"2020","unstructured":"Martin-Delgado, J., Mart\u00ednez-Garc\u00eda, A., Aranaz, J.M., Valencia-Mart\u00edn, J.L., Mira, J.J.: How much of root cause analysis translates into improved patient safety: a systematic review. Med. Princ. Pract. 29, 524\u2013531 (2020)","journal-title":"Med. Princ. Pract."},{"key":"15_CR8","doi-asserted-by":"crossref","unstructured":"e Oliveira, E., Migu\u00e9is, V.L., Borges, J.L.: Automatic root cause analysis in manufacturing: an overview & conceptualization. J. Intell. Manuf. 1\u201318 (2022)","DOI":"10.1007\/s10845-022-01914-3"},{"key":"15_CR9","doi-asserted-by":"publisher","first-page":"2786","DOI":"10.1016\/j.compchemeng.2011.05.004","volume":"35","author":"A Jayswal","year":"2011","unstructured":"Jayswal, A., Li, X., Zanwar, A., Lou, H.H., Huang, Y.: A sustainability root cause analysis methodology and its application. Comput. Chem. Eng. 35, 2786\u20132798 (2011)","journal-title":"Comput. Chem. Eng."},{"key":"15_CR10","doi-asserted-by":"publisher","first-page":"189661","DOI":"10.1109\/ACCESS.2020.3029826","volume":"8","author":"O Abdelrahman","year":"2020","unstructured":"Abdelrahman, O., Keikhosrokiani, P.: Assembly line anomaly detection and root cause analysis using machine learning. IEEE Access 8, 189661\u2013189672 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.3029826","journal-title":"IEEE Access"},{"key":"15_CR11","doi-asserted-by":"crossref","unstructured":"Papageorgiou, K., et al.: A systematic review on machine learning methods for root cause analysis towards zero-defect manufacturing (2022)","DOI":"10.3389\/fmtec.2022.972712"},{"key":"15_CR12","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.compchemeng.2018.04.009","volume":"115","author":"H Wu","year":"2018","unstructured":"Wu, H., Zhao, J.: Deep convolutional neural network model based chemical process fault diagnosis. Comput. Chem. Eng. 115, 185\u2013197 (2018)","journal-title":"Comput. Chem. Eng."},{"key":"15_CR13","doi-asserted-by":"publisher","first-page":"1057","DOI":"10.1016\/j.procir.2018.03.229","volume":"72","author":"A Lokrantz","year":"2018","unstructured":"Lokrantz, A., Gustavsson, E., Jirstrand, M.: Root cause analysis of failures and quality deviations in manufacturing using machine learning. Proc. CIRP 72, 1057\u20131062 (2018). https:\/\/doi.org\/10.1016\/j.procir.2018.03.229","journal-title":"Proc. CIRP"},{"key":"15_CR14","doi-asserted-by":"publisher","first-page":"109606","DOI":"10.1016\/j.matdes.2021.109606","volume":"203","author":"DJ Huang","year":"2021","unstructured":"Huang, D.J., Li, H.: A machine learning guided investigation of quality repeatability in metal laser powder bed fusion additive manufacturing. Mater. Des. 203, 109606 (2021). https:\/\/doi.org\/10.1016\/j.matdes.2021.109606","journal-title":"Mater. Des."},{"key":"15_CR15","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.future.2020.10.015","volume":"116","author":"B Steenwinckel","year":"2021","unstructured":"Steenwinckel, B., et al.: FLAGS: a methodology for adaptive anomaly detection and root cause analysis on sensor data streams by fusing expert knowledge with machine learning. Future Gener. Comput. Syst. 116, 30\u201348 (2021). https:\/\/doi.org\/10.1016\/j.future.2020.10.015","journal-title":"Future Gener. Comput. Syst."},{"key":"15_CR16","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/S0020-7373(86)80040-2","volume":"24","author":"B Kosko","year":"1986","unstructured":"Kosko, B.: Fuzzy cognitive maps. Int. J. Man Mach. Stud. 24, 65\u201375 (1986)","journal-title":"Int. J. Man Mach. Stud."},{"key":"15_CR17","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1109\/TFUZZ.2012.2201727","volume":"21","author":"EI Papageorgiou","year":"2013","unstructured":"Papageorgiou, E.I., Salmeron, J.L.: A review of fuzzy cognitive maps research during the last decade. IEEE Trans. Fuzzy Syst. 21, 66\u201379 (2013). https:\/\/doi.org\/10.1109\/TFUZZ.2012.2201727","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"15_CR18","volume-title":"Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence","author":"B Kosko","year":"1992","unstructured":"Kosko, B.: Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence. Prentice-Hall Inc., USA (1992)"},{"key":"15_CR19","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1111\/opo.12636","volume":"39","author":"RA Armstrong","year":"2019","unstructured":"Armstrong, R.A.: Should Pearson\u2019s correlation coefficient be avoided? Ophthalmic Physiol. Opt. 39, 316\u2013327 (2019)","journal-title":"Ophthalmic Physiol. Opt."},{"key":"15_CR20","doi-asserted-by":"publisher","unstructured":"Papageorgiou, E.I., Salmeron, J.L.: Methods and algorithms for fuzzy cognitive map-based modeling. In: Papageorgiou, E. (eds.) Fuzzy Cognitive Maps for Applied Sciences and Engineering. ISRL, vol. 54, pp. 1\u201328. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39739-4_1","DOI":"10.1007\/978-3-642-39739-4_1"},{"key":"15_CR21","unstructured":"Stylios, C.D., Groumpos, P.P., et al.: Mathematical formulation of fuzzy cognitive maps. In: Proceedings of the 7th Mediterranean Conference on Control and Automation, pp. 2251\u20132261. Mediterranean Control Association Nicosia, Cyprus (1999)"}],"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_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,20]],"date-time":"2023-08-20T16:03:19Z","timestamp":1692547399000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39965-7_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031399640","9783031399657"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39965-7_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"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)"}}]}}