{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T00:21:37Z","timestamp":1776126097817,"version":"3.50.1"},"publisher-location":"Cham","reference-count":34,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030501457","type":"print"},{"value":"9783030501464","type":"electronic"}],"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\/978-3-030-50146-4_42","type":"book-chapter","created":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T17:04:54Z","timestamp":1591376694000},"page":"571-584","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Performance and Interpretability in Fuzzy Logic Systems \u2013 Can We Have Both?"],"prefix":"10.1007","author":[{"given":"Direnc","family":"Pekaslan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Wagner","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan M.","family":"Garibaldi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,6,5]]},"reference":[{"issue":"1","key":"42_CR1","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.ijar.2009.09.004","volume":"51","author":"JM Alonso","year":"2009","unstructured":"Alonso, J.M., Magdalena, L., Gonz\u00e1lez-Rodr\u00edguez, G.: Looking for a good fuzzy system interpretability index: an experimental approach. Int. J. Approx. Reason. 51(1), 115\u2013134 (2009). \nhttps:\/\/doi.org\/10.1016\/j.ijar.2009.09.004\n\n. \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0888613X09001418","journal-title":"Int. J. Approx. Reason."},{"issue":"7","key":"42_CR2","doi-asserted-by":"publisher","first-page":"10696","DOI":"10.1016\/j.eswa.2009.02.043","volume":"36","author":"GS Atsalakis","year":"2009","unstructured":"Atsalakis, G.S., Valavanis, K.P.: Forecasting stock market short-term trends using a neuro-fuzzy based methodology. Expert Syst. Appl. 36(7), 10696\u201310707 (2009). \nhttps:\/\/doi.org\/10.1016\/j.eswa.2009.02.043\n\n. \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417409001948","journal-title":"Expert Syst. Appl."},{"issue":"8","key":"42_CR3","doi-asserted-by":"publisher","first-page":"11108","DOI":"10.1016\/j.eswa.2009.02.081","volume":"36","author":"A Azadeh","year":"2009","unstructured":"Azadeh, A., Saberi, M., Gitiforouz, A., Saberi, Z.: A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation. Expert Syst. Appl. 36(8), 11108\u201311117 (2009). \nhttps:\/\/doi.org\/10.1016\/j.eswa.2009.02.081\n\n. \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417409002413","journal-title":"Expert Syst. Appl."},{"key":"42_CR4","doi-asserted-by":"publisher","unstructured":"Bodenhofer U., Bauer P.: A formal model of interpretability of linguistic variables. In: Casillas, J., Cord\u00f3n, O., Herrera, F., Magdalena, L. (eds.) Interpretability Issues in Fuzzy Modeling. STUDFUZZ, vol. 128, pp. 524\u2013545. Springer, Heidelberg (2003). \nhttps:\/\/doi.org\/10.1007\/978-3-540-37057-4_22","DOI":"10.1007\/978-3-540-37057-4_22"},{"issue":"3","key":"42_CR5","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1109\/TFUZZ.2012.2236096","volume":"21","author":"AB Cara","year":"2013","unstructured":"Cara, A.B., Wagner, C., Hagras, H., Pomares, H., Rojas, I.: Multiobjective optimization and comparison of nonsingleton type-1 and singleton interval type-2 fuzzy logic systems. IEEE Trans. Fuzzy Syst. 21(3), 459\u2013476 (2013). \nhttps:\/\/doi.org\/10.1109\/TFUZZ.2012.2236096","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"42_CR6","doi-asserted-by":"crossref","unstructured":"Chen, C., John, R., Twycross, J., Garibaldi, J.M.: An extended ANFIS architecture and its learning properties for type-1 and interval type-2 models. In: Proceedings IEEE International Conference on Fuzzy Systems, pp. 602\u2013609 (2016)","DOI":"10.1109\/FUZZ-IEEE.2016.7737742"},{"issue":"3","key":"42_CR7","first-page":"1","volume":"12","author":"C Chen","year":"2017","unstructured":"Chen, C., Twycross, J., Garibaldi, J.M.: A new accuracy measure based on bounded relative error for time series forecasting. PLOS ONE 12(3), 1\u201323 (2017)","journal-title":"PLOS ONE"},{"issue":"1","key":"42_CR8","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/0031-3203(94)00085-Z","volume":"28","author":"Z Chi","year":"1995","unstructured":"Chi, Z., Wu, J., Yan, H.: Handwritten numeral recognition using self-organizing maps and fuzzy rules. Pattern Recogn. 28(1), 59\u201366 (1995). \nhttps:\/\/doi.org\/10.1016\/0031-3203(94)00085-Z\n\n. \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/003132039400085Z","journal-title":"Pattern Recogn."},{"issue":"7","key":"42_CR9","doi-asserted-by":"publisher","first-page":"4742","DOI":"10.1016\/j.eswa.2009.11.020","volume":"37","author":"A Esfahanipour","year":"2010","unstructured":"Esfahanipour, A., Aghamiri, W.: Adapted neuro-fuzzy inference system on indirect approach TSK fuzzy rule base for stock market analysis. Expert Syst. Appl. 37(7), 4742\u20134748 (2010). \nhttps:\/\/doi.org\/10.1016\/j.eswa.2009.11.020\n\n. \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417409009622","journal-title":"Expert Syst. Appl."},{"key":"42_CR10","doi-asserted-by":"publisher","unstructured":"Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R., Garibaldi, J.M.: A comparative study on the control of quadcopter UAVs by using singleton and non-singleton fuzzy logic controllers. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1023\u20131030, July 2016. \nhttps:\/\/doi.org\/10.1109\/FUZZ-IEEE.2016.7737800","DOI":"10.1109\/FUZZ-IEEE.2016.7737800"},{"issue":"2","key":"42_CR11","doi-asserted-by":"publisher","first-page":"725","DOI":"10.1109\/TMECH.2018.2810947","volume":"23","author":"C Fu","year":"2018","unstructured":"Fu, C., Sarabakha, A., Kayacan, E., Wagner, C., John, R., Garibaldi, J.M.: Input uncertainty sensitivity enhanced nonsingleton fuzzy logic controllers for long-term navigation of quadrotor uavs. IEEE\/ASME Trans. Mechatron. 23(2), 725\u2013734 (2018). \nhttps:\/\/doi.org\/10.1109\/TMECH.2018.2810947","journal-title":"IEEE\/ASME Trans. Mechatron."},{"issue":"20","key":"42_CR12","doi-asserted-by":"publisher","first-page":"4340","DOI":"10.1016\/j.ins.2011.02.021","volume":"181","author":"MJ Gacto","year":"2011","unstructured":"Gacto, M.J., Alcal\u00e1, R., Herrera, F.: Interpretability of linguistic fuzzy rule-based systems: an overview of interpretability measures. Inf. Sci. 181(20), 4340\u20134360 (2011). \nhttps:\/\/doi.org\/10.1016\/j.ins.2011.02.021\n\n. \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0020025511001034","journal-title":"Inf. Sci."},{"issue":"1","key":"42_CR13","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1109\/TFUZZ.2006.889755","volume":"15","author":"JM Garibaldi","year":"2007","unstructured":"Garibaldi, J.M., Ozen, T.: Uncertain fuzzy reasoning: a case study in modelling expert decision making. IEEE Trans. Fuzzy Syst. 15(1), 16\u201330 (2007)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"3","key":"42_CR14","doi-asserted-by":"publisher","first-page":"665","DOI":"10.1109\/21.256541","volume":"23","author":"JS Jang","year":"1993","unstructured":"Jang, J.S.: ANFIS: adaptive-network-based fuzzy inference system. IEEE Trans. Syst. Man Cybern. 23(3), 665\u2013685 (1993)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"2","key":"42_CR15","doi-asserted-by":"publisher","first-page":"212","DOI":"10.1109\/91.842154","volume":"8","author":"Y Jin","year":"2000","unstructured":"Jin, Y.: Fuzzy modeling of high-dimensional systems: complexity reduction and interpretability improvement. IEEE Trans. Fuzzy Syst. 8(2), 212\u2013221 (2000). \nhttps:\/\/doi.org\/10.1109\/91.842154\n\n. \nhttp:\/\/epubs.surrey.ac.uk\/7644\/","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"11","key":"42_CR16","doi-asserted-by":"publisher","first-page":"4443","DOI":"10.1109\/TIE.2011.2151822","volume":"59","author":"MA Khanesar","year":"2012","unstructured":"Khanesar, M.A., Kayacan, E., Teshnehlab, M., Kaynak, O.: Extended Kalman filter based learning algorithm for type-2 fuzzy logic systems and its experimental evaluation. IEEE Trans. Ind. Electron. 59(11), 4443\u20134455 (2012)","journal-title":"IEEE Trans. Ind. Electron."},{"key":"42_CR17","unstructured":"Kim, B., et al.: Interpretability beyond feature attribution: quantitative testing with concept activation vectors (TCAV). arXiv preprint \narXiv:1711.11279\n\n (2017)"},{"issue":"6","key":"42_CR18","doi-asserted-by":"publisher","first-page":"768","DOI":"10.1109\/TFUZZ.2003.819839","volume":"11","author":"L-X Wang","year":"2003","unstructured":"Wang, L.-X.: The WM method completed: a flexible fuzzy system approach to data mining. IEEE Trans. Fuzzy Syst. 11(6), 768\u2013782 (2003). \nhttps:\/\/doi.org\/10.1109\/TFUZZ.2003.819839","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"42_CR19","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/978-3-319-46562-3_9","volume-title":"Advances in Computational Intelligence Systems","author":"H Liu","year":"2017","unstructured":"Liu, H., Gegov, A., Cocea, M.: Complexity control in rule based models for classification in machine learning context. In: Angelov, P., Gegov, A., Jayne, C., Shen, Q. (eds.) Advances in Computational Intelligence Systems. AISC, vol. 513, pp. 125\u2013143. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-46562-3_9"},{"issue":"12","key":"42_CR20","doi-asserted-by":"publisher","first-page":"5226","DOI":"10.1109\/TIP.2013.2283400","volume":"22","author":"X Liu","year":"2013","unstructured":"Liu, X., Tanaka, M., Okutomi, M.: Single-image noise level estimation for blind denoising. IEEE Trans. Image Process. 22(12), 5226\u20135237 (2013)","journal-title":"IEEE Trans. Image Process."},{"key":"42_CR21","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.neucom.2019.01.095","volume":"338","author":"A Mohammadzadeh","year":"2019","unstructured":"Mohammadzadeh, A., Kayacan, E.: A non-singleton type-2 fuzzy neural network with adaptive secondary membership for high dimensional applications. Neurocomputing 338, 63\u201371 (2019). \nhttps:\/\/doi.org\/10.1016\/j.neucom.2019.01.095\n\n. \nhttp:\/\/www.sciencedirect.com\/science\/article\/pii\/S0925231219301882","journal-title":"Neurocomputing"},{"key":"42_CR22","unstructured":"Mouzouris, G.C., Mendel, J.M.: Nonlinear time-series analysis with non-singleton fuzzy logic systems. In: Computational Intelligence for Financial Engineering. Proceedings of the IEEE\/IAFE 1995, pp. 47\u201356. IEEE (1995)"},{"key":"42_CR23","doi-asserted-by":"publisher","unstructured":"Pekaslan, D., Wagner, C., Garibaldi, J.M.: Adonis - adaptive online non-singleton fuzzy logic systems. IEEE Trans. Fuzzy Syst. 1 (2019). \nhttps:\/\/doi.org\/10.1109\/TFUZZ.2019.2933787","DOI":"10.1109\/TFUZZ.2019.2933787"},{"key":"42_CR24","doi-asserted-by":"crossref","unstructured":"Pekaslan, D., Garibaldi, J.M., Wagner, C.: Exploring subsethood to determine firing strength in non-singleton fuzzy logic systems. In: IEEE World Congress on Computational Intelligence (2018)","DOI":"10.1109\/FUZZ-IEEE.2018.8491614"},{"issue":"6","key":"42_CR25","doi-asserted-by":"publisher","first-page":"1513","DOI":"10.1109\/TFUZZ.2016.2540065","volume":"24","author":"A Pourabdollah","year":"2016","unstructured":"Pourabdollah, A., Wagner, C., Aladi, J.H., Garibaldi, J.M.: Improved uncertainty capture for nonsingleton fuzzy systems. IEEE Trans. Fuzzy Syst. 24(6), 1513\u20131524 (2016). \nhttps:\/\/doi.org\/10.1109\/TFUZZ.2016.2540065","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"42_CR26","doi-asserted-by":"crossref","unstructured":"Pourabdollah, A., John, R., Garibaldi, J.M.: A new dynamic approach for non-singleton fuzzification in noisy time-series prediction. In: 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1\u20136. IEEE (2017)","DOI":"10.1109\/FUZZ-IEEE.2017.8015575"},{"key":"42_CR27","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1016\/j.fss.2018.11.010","volume":"368","author":"S Rajab","year":"2019","unstructured":"Rajab, S.: Handling interpretability issues in anfis using rule base simplification and constrained learning. Fuzzy Sets Syst. 368, 36\u201358 (2019). \nhttps:\/\/doi.org\/10.1016\/j.fss.2018.11.010\n\n. Theme: Fuzzy Systems and Learning","journal-title":"Fuzzy Sets Syst."},{"key":"42_CR28","doi-asserted-by":"publisher","unstructured":"Razak, T.R., Garibaldi, J.M., Wagner, C., Pourabdollah, A., Soria, D.: Interpretability and complexity of design in the creation of fuzzy logic systems - a user study. In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 420\u2013426, November 2018. \nhttps:\/\/doi.org\/10.1109\/SSCI.2018.8628924","DOI":"10.1109\/SSCI.2018.8628924"},{"issue":"12","key":"42_CR29","doi-asserted-by":"publisher","first-page":"2381","DOI":"10.1109\/TFUZZ.2019.2898582","volume":"27","author":"G Ruiz-Garc\u00eda","year":"2019","unstructured":"Ruiz-Garc\u00eda, G., Hagras, H., Pomares, H., Ruiz, I.R.: Toward a fuzzy logic system based on general forms of interval type-2 fuzzy sets. IEEE Trans. Fuzzy Syst. 27(12), 2381\u20132395 (2019)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"7","key":"42_CR30","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1109\/MSPEC.1970.5213471","volume":"7","author":"HW Sorenson","year":"1970","unstructured":"Sorenson, H.W.: Least-squares estimation: from Gauss to Kalman. IEEE Spectr. 7(7), 63\u201368 (1970)","journal-title":"IEEE Spectr."},{"key":"42_CR31","doi-asserted-by":"publisher","unstructured":"Tellez-Velazquez, A., Cruz-Barbosa, R.: A CUDA-streams inference machine for non-singleton fuzzy systems. Concurr. Comput.: Pract. Exp. 30 (2017). \nhttps:\/\/doi.org\/10.1002\/cpe.4382","DOI":"10.1002\/cpe.4382"},{"key":"42_CR32","doi-asserted-by":"crossref","unstructured":"Wagner, C., Pourabdollah, A., McCulloch, J., John, R., Garibaldi, J.M.: A similarity-based inference engine for non-singleton fuzzy logic systems. In: 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 316\u2013323. IEEE (2016)","DOI":"10.1109\/FUZZ-IEEE.2016.7737703"},{"issue":"6","key":"42_CR33","doi-asserted-by":"publisher","first-page":"1414","DOI":"10.1109\/21.199466","volume":"22","author":"LX Wang","year":"1992","unstructured":"Wang, L.X., Mendel, J.M.: Generating fuzzy rules by learning from examples. IEEE Trans. Syst. Man Cybern. 22(6), 1414\u20131427 (1992)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"3","key":"42_CR34","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"L Zadeh","year":"1965","unstructured":"Zadeh, L.: Fuzzy sets. Inf. Control 8(3), 338\u2013353 (1965). \nhttps:\/\/doi.org\/10.1016\/S0019-9958(65)90241-X","journal-title":"Inf. Control"}],"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\/978-3-030-50146-4_42","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T18:07:38Z","timestamp":1591380458000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-50146-4_42"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030501457","9783030501464"],"references-count":34,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-50146-4_42","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"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"}]}}