{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T20:21:17Z","timestamp":1783110077961,"version":"3.54.6"},"publisher-location":"Singapore","reference-count":31,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819543663","type":"print"},{"value":"9789819543670","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T00:00:00Z","timestamp":1763769600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,22]],"date-time":"2025-11-22T00:00:00Z","timestamp":1763769600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-4367-0_41","type":"book-chapter","created":{"date-parts":[[2025,11,21]],"date-time":"2025-11-21T12:38:01Z","timestamp":1763728681000},"page":"611-624","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Novel Bi-environmental Intuitionistic Fuzzy C-Means Clustering Algorithm"],"prefix":"10.1007","author":[{"given":"Yihao","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2248-8679","authenticated-orcid":false,"given":"Youpeng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5033-1866","authenticated-orcid":false,"given":"Haolan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongming","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7991-6869","authenticated-orcid":false,"given":"Taoyu","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8600-2570","authenticated-orcid":false,"given":"Xi","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,11,22]]},"reference":[{"issue":"5","key":"41_CR1","doi-asserted-by":"publisher","first-page":"898","DOI":"10.1109\/TPAMI.2010.161","volume":"33","author":"P Arbelaez","year":"2011","unstructured":"Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898\u2013916 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"4","key":"41_CR2","first-page":"306","volume":"6","author":"J Arora","year":"2018","unstructured":"Arora, J., Tushir, M.: A new kernel-based possibilistic intuitionistic fuzzy C-means clustering. Int. J. Artif. Intell. Soft Comput. 6(4), 306\u2013325 (2018)","journal-title":"Int. J. Artif. Intell. Soft Comput."},{"key":"41_CR3","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.asoc.2016.12.049","volume":"53","author":"S Askari","year":"2017","unstructured":"Askari, S., Montazerin, N., Fazel Zarandi, M.: Generalized possibilistic fuzzy C-means with novel cluster validity indices for clustering noisy data. Appl. Soft Comput. 53, 262\u2013283 (2017)","journal-title":"Appl. Soft Comput."},{"key":"41_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113856","volume":"165","author":"S Askari","year":"2021","unstructured":"Askari, S.: Fuzzy C-means clustering algorithm for data with unequal cluster sizes and contaminated with noise and outliers: review and development. Expert Syst. Appl. 165, 113856 (2021)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"41_CR5","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","volume":"20","author":"KT Atanassov","year":"1986","unstructured":"Atanassov, K.T.: Intuitionistic fuzzy sets. Fuzzy Sets Syst. 20(1), 87\u201396 (1986)","journal-title":"Fuzzy Sets Syst."},{"issue":"2","key":"41_CR6","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1109\/91.493905","volume":"4","author":"A Bensaid","year":"1996","unstructured":"Bensaid, A., et al.: Validity-guided (re)clustering with applications to image segmentation. IEEE Trans. Fuzzy Syst. 4(2), 112\u2013123 (1996)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"2","key":"41_CR7","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/0098-3004(84)90020-7","volume":"10","author":"JC Bezdek","year":"1984","unstructured":"Bezdek, J.C., Ehrlich, R., Full, W.: FCM: the fuzzy C-means clustering algorithm. Comput. Geosci. 10(2), 191\u2013203 (1984)","journal-title":"Comput. Geosci."},{"key":"41_CR8","first-page":"S425","volume":"5","author":"C Cocosco","year":"1997","unstructured":"Cocosco, C., Kollokian, V., Kwan, R., Evans, A.: Brainweb: online interface to a 3D MRI simulated brain database. Neuroimage 5, S425 (1997)","journal-title":"Neuroimage"},{"key":"41_CR9","doi-asserted-by":"publisher","first-page":"1176","DOI":"10.1016\/j.asoc.2018.04.014","volume":"71","author":"Q Danish Lohani","year":"2018","unstructured":"Danish Lohani, Q., Solanki, R., Muhuri, P.K.: A convergence theorem and an experimental study of intuitionistic fuzzy C-mean algorithm over machine learning dataset. Appl. Soft Comput. 71, 1176\u20131188 (2018)","journal-title":"Appl. Soft Comput."},{"key":"41_CR10","unstructured":"Dua, D., Graff, C.: UCI machine learning repository. http:\/\/archive.ics.uci.edu\/ml"},{"key":"41_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107769","volume":"237","author":"Y Gao","year":"2022","unstructured":"Gao, Y., Wang, Z., Xie, J., Pan, J.: A new robust fuzzy C-means clustering method based on adaptive elastic distance. Knowl.-Based Syst. 237, 107769 (2022)","journal-title":"Knowl.-Based Syst."},{"key":"41_CR12","doi-asserted-by":"crossref","unstructured":"Guo, X., Liu, X., Zhu, E., Yin, J.: Deep clustering with convolutional autoencoders. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, E.S.M. (eds.) Neural Information Processing, pp. 373\u2013382. Springer (2017)","DOI":"10.1007\/978-3-319-70096-0_39"},{"key":"41_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.123835","volume":"249","author":"W Huang","year":"2024","unstructured":"Huang, W., Zhang, F., Wang, S., Kong, F.: A novel knowledge-based similarity measure on intuitionistic fuzzy sets and its applications in pattern recognition. Expert Syst. Appl. 249, 123835 (2024)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"41_CR14","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s41066-021-00259-1","volume":"7","author":"M Kaushal","year":"2022","unstructured":"Kaushal, M., Lohani, Q.M.D.: Generalized intuitionistic fuzzy C-means clustering algorithm using an adaptive intuitionistic fuzzification technique. Granular Comput. 7(1), 183\u2013195 (2022)","journal-title":"Granular Comput."},{"issue":"1","key":"41_CR15","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1109\/TFUZZ.2017.2659739","volume":"26","author":"KD Koutroumbas","year":"2017","unstructured":"Koutroumbas, K.D., Xenaki, S.D., Rontogiannis, A.A.: On the convergence of the sparse possibilistic C-means algorithm. IEEE Trans. Fuzzy Syst. 26(1), 324\u2013337 (2017)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"41_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127937","volume":"599","author":"B Krishnakumar","year":"2024","unstructured":"Krishnakumar, B., Kousalya, K.: FCM-DCS: fuzzy C means distorted contour-based segmentation model for breast cancer detection. Neurocomputing 599, 127937 (2024)","journal-title":"Neurocomputing"},{"issue":"11","key":"41_CR17","doi-asserted-by":"publisher","first-page":"1085","DOI":"10.1109\/42.816072","volume":"18","author":"R Kwan","year":"1999","unstructured":"Kwan, R., Evans, A., Pike, G.: MRI simulation-based evaluation of image-processing and classification methods. IEEE Trans. Med. Imaging 18(11), 1085\u20131097 (1999)","journal-title":"IEEE Trans. Med. Imaging"},{"key":"41_CR18","doi-asserted-by":"crossref","unstructured":"Leski, J.M.: Fuzzy C-ordered-means clustering. Fuzzy Sets Syst. 286(C), 114\u2013133 (2016)","DOI":"10.1016\/j.fss.2014.12.007"},{"key":"41_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2025.122105","volume":"711","author":"J Lu","year":"2025","unstructured":"Lu, J., Luo, T., Li, K.: A forward k-means algorithm for regression clustering. Inf. Sci. 711, 122105 (2025)","journal-title":"Inf. Sci."},{"key":"41_CR20","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/j.ins.2021.11.056","volume":"585","author":"Y Pang","year":"2022","unstructured":"Pang, Y., Shi, M., Zhang, L., Song, X., Sun, W.: PR-FCM: a polynomial regression-based fuzzy C-means algorithm for attribute-associated data. Inf. Sci. 585, 209\u2013231 (2022)","journal-title":"Inf. Sci."},{"key":"41_CR21","doi-asserted-by":"crossref","unstructured":"Pei, H.X., Zheng, Z.R., Wang, C., Li, C.N., Shao, Y.H.: D-FCM: density based fuzzy C-means clustering algorithm with application in medical image segmentation. Procedia Comput. Sci. 122, 407\u2013414 (2017). 5th International Conference on Information Technology and Quantitative Management, ITQM 2017","DOI":"10.1016\/j.procs.2017.11.387"},{"issue":"1","key":"41_CR22","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1002\/ima.22153","volume":"26","author":"C Prabu","year":"2016","unstructured":"Prabu, C., Bavithiraja, S., Narayanamoorthy, S.: A novel brain image segmentation using intuitionistic fuzzy C means algorithm. Int. J. Imaging Syst. Technol. 26(1), 24\u201328 (2016)","journal-title":"Int. J. Imaging Syst. Technol."},{"issue":"11","key":"41_CR23","doi-asserted-by":"publisher","first-page":"2140","DOI":"10.1109\/TFUZZ.2019.2893863","volume":"27","author":"S Rezvani","year":"2019","unstructured":"Rezvani, S., Wang, X., Pourpanah, F.: Intuitionistic fuzzy twin support vector machines. IEEE Trans. Fuzzy Syst. 27(11), 2140\u20132151 (2019)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"7","key":"41_CR24","doi-asserted-by":"publisher","first-page":"4400","DOI":"10.1109\/TCYB.2022.3165879","volume":"53","author":"M Tanveer","year":"2023","unstructured":"Tanveer, M., Ganaie, M.A., Bhattacharjee, A., Lin, C.T.: Intuitionistic fuzzy weighted least squares twin SVMs. IEEE Trans. Cybern. 53(7), 4400\u20134409 (2023)","journal-title":"IEEE Trans. Cybern."},{"key":"41_CR25","doi-asserted-by":"crossref","unstructured":"Varshney, A.K., Danish\u00a0Lohani, Q.M., Muhuri, P.K.: Improved probabilistic intuitionistic fuzzy C-means clustering algorithm: improved PIFCM. In: 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp.\u00a01\u20136 (2020)","DOI":"10.1109\/FUZZ48607.2020.9177574"},{"issue":"4","key":"41_CR26","doi-asserted-by":"publisher","first-page":"580","DOI":"10.3969\/j.issn.1004-4132.2010.04.009","volume":"21","author":"Z Xu","year":"2010","unstructured":"Xu, Z., Wu, J.: Intuitionistic fuzzy C-means clustering algorithms. J. Syst. Eng. Electron. 21(4), 580\u2013590 (2010)","journal-title":"J. Syst. Eng. Electron."},{"key":"41_CR27","doi-asserted-by":"crossref","unstructured":"Yager, R.R.: On the measure of fuzziness and negation part i: membership in the unit interval. Int. J. Gen. Syst. 5(4), 221\u2013229 (1979)","DOI":"10.1080\/03081077908547452"},{"issue":"2","key":"41_CR28","doi-asserted-by":"publisher","first-page":"15","DOI":"10.31181\/dmame722024978","volume":"7","author":"Y Yang","year":"2024","unstructured":"Yang, Y., Lee, S., Kim, K.S., Zhang, H., Huang, X., Pedrycz, W.: Analysis on the hesitation and its application to decision making. Decis. Making Appl. Manag. Eng. 7(2), 15\u201334 (2024)","journal-title":"Decis. Making Appl. Manag. Eng."},{"key":"41_CR29","doi-asserted-by":"crossref","unstructured":"Yang, Y., Lee, S., Zhang, H., Pedrycz, W., Kim, K.S.: A novel preference scale function based on Poincar\u00e9 metric for decision-making. In: 2023 International Conference on Machine Learning and Cybernetics (ICMLC), pp. 37\u201342 (2023)","DOI":"10.1109\/ICMLC58545.2023.10327962"},{"key":"41_CR30","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Huang, H.L.: The distance and entropy measures-based intuitionistic fuzzy C-means and similarity matrix clustering algorithms and their applications. Appl. Soft Comput. 169 (2025)","DOI":"10.1016\/j.asoc.2024.112581"},{"key":"41_CR31","first-page":"401","volume":"22","author":"A Zijdenbos","year":"1994","unstructured":"Zijdenbos, A., Dawant, B.: Brain segmentation and white matter lesion detection in MR images. Crit. Rev. Biomed. Eng. 22, 401\u2013465 (1994)","journal-title":"Crit. Rev. Biomed. Eng."}],"container-title":["Lecture Notes in Computer Science","Neural Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-4367-0_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T19:42:17Z","timestamp":1783107737000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-4367-0_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,22]]},"ISBN":["9789819543663","9789819543670"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-4367-0_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,22]]},"assertion":[{"value":"22 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICONIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Neural Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Okinawa","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Japan","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"32","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iconip2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iconip2025.apnns.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}