{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T13:13:06Z","timestamp":1766754786500,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030588168"},{"type":"electronic","value":"9783030588175"}],"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\/978-3-030-58817-5_27","type":"book-chapter","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T16:46:50Z","timestamp":1601398010000},"page":"351-366","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Temperature Controller Using the Takagi-Sugeno-Kang Fuzzy Inference System for an Industrial Heat Treatment Furnace"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7556-0286","authenticated-orcid":false,"given":"Jorge","family":"Buele","sequence":"first","affiliation":[]},{"given":"Paulina","family":"R\u00edos-Cando","sequence":"additional","affiliation":[]},{"given":"Geovanni","family":"Brito","sequence":"additional","affiliation":[]},{"given":"Rodrigo","family":"Moreno-P.","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3404-5202","authenticated-orcid":false,"given":"Franklin W.","family":"Salazar","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,30]]},"reference":[{"key":"27_CR1","doi-asserted-by":"crossref","unstructured":"Leme, R.D., Nunes, A.O., Message Costa, L.B., Silva, D.A.L.: Creating value with less impact: lean, green and eco-efficiency in a metalworking industry towards a cleaner production. J. Clean. Prod. (2018)","DOI":"10.1016\/j.jclepro.2018.06.064"},{"key":"27_CR2","doi-asserted-by":"publisher","unstructured":"Mufarroha, F.A., Utaminingrum, F.: Hand gesture recognition using adaptive network based fuzzy inference system and K-nearest neighbor. Int. J. Technol. (2017). https:\/\/doi.org\/10.14716\/ijtech.v8i3.3146","DOI":"10.14716\/ijtech.v8i3.3146"},{"key":"27_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.jart.2017.05.004","author":"GM Tamilselvan","year":"2017","unstructured":"Tamilselvan, G.M., Aarthy, P.: Online tuning of fuzzy logic controller using Kalman algorithm for conical tank system. J. Appl. Res. Technol. (2017). https:\/\/doi.org\/10.1016\/j.jart.2017.05.004","journal-title":"J. Appl. Res. Technol."},{"key":"27_CR4","doi-asserted-by":"publisher","unstructured":"Rajesh Jesudoss Hynes, N., Kumar, R., Shenbaga Velu, P., Angela Jennifa Sujana, J.: Optimization of friction stud welding process parameters by integrated Grey-Fuzzy logic approach. J. Appl. Res. Technol. (2018). https:\/\/doi.org\/10.22201\/icat.16656423.2018.16.4.724","DOI":"10.22201\/icat.16656423.2018.16.4.724"},{"key":"27_CR5","doi-asserted-by":"publisher","unstructured":"Garcia, C.A., et al.: MPC under IEC-61499 using low-cost devices for oil pipeline system. In: Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018, pp. 659\u2013664 (2018). https:\/\/doi.org\/10.1109\/INDIN.2018.8472094","DOI":"10.1109\/INDIN.2018.8472094"},{"key":"27_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1007\/978-3-319-95165-2_48","volume-title":"Computational Science and Its Applications \u2013 ICCSA 2018","author":"AY Zimit","year":"2018","unstructured":"Zimit, A.Y., Yap, H.J., Hamza, M.F., Siradjuddin, I., Hendrik, B., Herawan, T.: Modelling and experimental analysis two-wheeled self balance robot using PID controller. In: Gervasi, O., et al. (eds.) ICCSA 2018. LNCS, vol. 10961, pp. 683\u2013698. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-95165-2_48"},{"key":"27_CR7","doi-asserted-by":"publisher","DOI":"10.1109\/TLA.2016.7459596","author":"JP Ortiz","year":"2016","unstructured":"Ortiz, J.P., Minchala, L.I., Reinoso, M.J.: Nonlinear robust H-infinity PID controller for the multivariable system quadrotor. IEEE Lat. Am. Trans. (2016). https:\/\/doi.org\/10.1109\/TLA.2016.7459596","journal-title":"IEEE Lat. Am. Trans."},{"key":"27_CR8","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1007\/978-3-319-73450-7_55","volume-title":"Proceedings of the International Conference on Information Technology & Systems (ICITS 2018)","author":"J Buele","year":"2018","unstructured":"Buele, J., et al.: Interactive system for monitoring and control of a flow station using LabVIEW. In: Rocha, \u00c1., Guarda, T. (eds.) ICITS 2018. AISC, vol. 721, pp. 583\u2013592. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-73450-7_55"},{"key":"27_CR9","doi-asserted-by":"publisher","unstructured":"Garc\u00eda, C.A., et al.: Fuzzy control implementation in low cost CPPS devices. In: IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, pp. 162\u2013167 (2017). https:\/\/doi.org\/10.1109\/MFI.2017.8170423","DOI":"10.1109\/MFI.2017.8170423"},{"key":"27_CR10","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1007\/978-3-030-40690-5_42","volume-title":"Information Technology and Systems","author":"J Buele","year":"2020","unstructured":"Buele, J., Varela-Ald\u00e1s, J., Santamar\u00eda, M., Soria, A., Espinoza, J.: Comparison between fuzzy control and MPC algorithms implemented in low-cost embedded devices. In: Rocha, \u00c1., Ferr\u00e1s, C., Montenegro Marin, C.E., Medina Garc\u00eda, V.H. (eds.) ICITS 2020. AISC, vol. 1137, pp. 429\u2013438. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-40690-5_42"},{"issue":"3","key":"27_CR11","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1007\/s40815-016-0177-x","volume":"19","author":"G Wei","year":"2016","unstructured":"Wei, G., Alsaadi, F.E., Hayat, T., Alsaedi, A.: A linear assignment method for multiple criteria decision analysis with hesitant fuzzy sets based on fuzzy measure. Int. J. Fuzzy Syst. 19(3), 607\u2013614 (2016). https:\/\/doi.org\/10.1007\/s40815-016-0177-x","journal-title":"Int. J. Fuzzy Syst."},{"key":"27_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1007\/978-3-319-77538-8_24","volume-title":"Applications of Evolutionary Computation","author":"M Salem","year":"2018","unstructured":"Salem, M., Mora, A.M., Merelo, J.J., Garc\u00eda-S\u00e1nchez, P.: Evolving a TORCS modular fuzzy driver using genetic algorithms. In: Sim, K., Kaufmann, P. (eds.) EvoApplications 2018. LNCS, vol. 10784, pp. 342\u2013357. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-77538-8_24"},{"key":"27_CR13","doi-asserted-by":"publisher","unstructured":"Ansari, Z., Ghazizadeh, R., Shokhmzan, Z.: Gradient descent approach to secure localization for underwater wireless sensor networks. In: 2016 24th Iranian Conference on Electrical Engineering, ICEE 2016 (2016). https:\/\/doi.org\/10.1109\/IranianCEE.2016.7585498","DOI":"10.1109\/IranianCEE.2016.7585498"},{"key":"27_CR14","first-page":"35","volume":"5","author":"J Duarte","year":"2015","unstructured":"Duarte, J., Orozco, W.: Optimizaci\u00f3n de sintonizaci\u00f3n de controladores PID bajo el criterio IAE aplicados a procesos t\u00e9rmicos. Rev. Fac. Ing. 5, 35\u201345 (2015)","journal-title":"Rev. Fac. Ing."},{"key":"27_CR15","doi-asserted-by":"publisher","unstructured":"Campos, J., Jaramillo, S., Morales, L., Camacho, O., Chavez, D.: PD\u2009+\u2009i Fuzzy Controller optimized by PSO applied to a variable dead time process. In: 2018 IEEE 3rd Ecuador Technical Chapters Meeting, ETCM 2018 (2018). https:\/\/doi.org\/10.1109\/ETCM.2018.8580277","DOI":"10.1109\/ETCM.2018.8580277"},{"key":"27_CR16","doi-asserted-by":"publisher","unstructured":"D\u00edaz-\u00c1lvarcz, A., Serradilla-Garc\u00eda, F., Jim\u00e9nez-Alonso, F., Talavera-Mu\u00f1oz, E., Olaverri-Monreal, C.: Fuzzy controller inference via gradient descent to model the longitudinal behavior on real drivers. In: IEEE Intelligent Vehicles Symposium, Proceedings (2019). https:\/\/doi.org\/10.1109\/IVS.2019.8814180","DOI":"10.1109\/IVS.2019.8814180"},{"key":"27_CR17","doi-asserted-by":"crossref","unstructured":"Sakalli, A., Beke, A., Kumbasar, T.: Gradient descent and extended kalman filter based self-tuning interval type-2 fuzzy PID controllers. In: 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 (2016)","DOI":"10.1109\/FUZZ-IEEE.2016.7737880"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2020"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-58817-5_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T14:30:12Z","timestamp":1619188212000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-58817-5_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030588168","9783030588175"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-58817-5_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"30 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"1 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.iccsa.org\/","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":"Cyber chair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1450","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":"466","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":"32","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":"32% - 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":"2.5","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":"6","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Conference was held virtually due to COVID-19 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)"}}]}}