{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,20]],"date-time":"2025-10-20T10:26:29Z","timestamp":1760955989152,"version":"3.37.3"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T00:00:00Z","timestamp":1575849600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T00:00:00Z","timestamp":1575849600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671377"],"award-info":[{"award-number":["61671377"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007128","name":"Natural Science Foundation of Shaanxi Province","doi-asserted-by":"publisher","award":["2017JM6107"],"award-info":[{"award-number":["2017JM6107"]}],"id":[{"id":"10.13039\/501100007128","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s00500-019-04593-0","type":"journal-article","created":{"date-parts":[[2019,12,9]],"date-time":"2019-12-09T15:03:06Z","timestamp":1575903786000},"page":"10903-10932","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Robust credibilistic intuitionistic fuzzy clustering for image segmentation"],"prefix":"10.1007","volume":"24","author":[{"given":"Chengmao","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1895-2117","authenticated-orcid":false,"given":"Xiaoqiang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,9]]},"reference":[{"key":"4593_CR1","doi-asserted-by":"publisher","first-page":"758","DOI":"10.1016\/j.asoc.2015.05.038","volume":"34","author":"SK Adhikari","year":"2015","unstructured":"Adhikari SK, Sing JK, Basu DK et al (2015) Conditional spatial fuzzy C-means clustering algorithm for segmentation of MRI images. Appl Soft Comput 34:758\u2013769","journal-title":"Appl Soft Comput"},{"key":"4593_CR2","doi-asserted-by":"publisher","DOI":"10.1155\/2010\/636858","author":"AK Adnan","year":"2010","unstructured":"Adnan AK, Sajid B, Imran S et al (2010) Validity-Guided Fuzzy Clustering Evaluation for Neural Network-Based Time-Frequency Reassignment. EURASIP J Adv Signal Process. https:\/\/doi.org\/10.1155\/2010\/636858","journal-title":"EURASIP J Adv Signal Process"},{"issue":"3","key":"4593_CR3","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1109\/42.996338","volume":"21","author":"MN Ahmed","year":"2002","unstructured":"Ahmed MN, Yamany SM, Mohamed N et al (2002) A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans Med Imaging 21(3):193\u2013199","journal-title":"IEEE Trans Med Imaging"},{"issue":"1","key":"4593_CR4","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/S0165-0114(86)80034-3","volume":"20","author":"KT Atanassov","year":"1986","unstructured":"Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87\u201396. https:\/\/doi.org\/10.1016\/S0165-0114(86)80034-3","journal-title":"Fuzzy Sets Syst"},{"issue":"2","key":"4593_CR5","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1109\/91.493905","volume":"2","author":"AM Bensaid","year":"2002","unstructured":"Bensaid AM, Hall LO, Bezdek JC et al (2002) Validity-guided (Re)clustering with applications to image segmentation. IEEE Trans Fuzzy Syst 2(2):112\u2013123","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"4593_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPAMI.1980.4766964","volume":"2","author":"JC Bezdek","year":"1980","unstructured":"Bezdek JC (1980) A convergence theorem for the fuzzy ISODATA clustering algorithm. IEEE Trans Pattern Anal Mach Intell 2(1):1\u20138","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"4593_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1","author":"JC Bezdek","year":"1981","unstructured":"Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Adv Appl Pattern Recogn. https:\/\/doi.org\/10.1007\/978-1-4757-0450-1","journal-title":"Adv Appl Pattern Recogn"},{"issue":"2","key":"4593_CR8","doi-asserted-by":"publisher","first-page":"1711","DOI":"10.1016\/j.asoc.2010.05.005","volume":"11","author":"T Chaira","year":"2011","unstructured":"Chaira T (2011) A novel intuitionistic fuzzy C means clustering algorithm and its application to medical images. Appl Soft Comput 11(2):1711\u20131717","journal-title":"Appl Soft Comput"},{"issue":"4","key":"4593_CR9","first-page":"1907","volume":"8","author":"S Chen","year":"2004","unstructured":"Chen S, Zhang D (2004) Robust image segmentation using FCM with spatial constraints based on new kernel induced distance measure. IEEE Trans Syst 8(4):1907\u20131916","journal-title":"IEEE Trans Syst"},{"key":"4593_CR10","unstructured":"Chintalapudi KK, Kam M (1998) A noise-resistant fuzzy c means algorithm for clustering. In: IEEE world congress on computational intelligence 1998 IEEE international conference on fuzzy systems proceedings, (IEEE Cat. No.98CH36228), vol 2, pp. 1458\u20131463"},{"issue":"4","key":"4593_CR11","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1109\/LSP.2013.2244080","volume":"20","author":"I Despotovic","year":"2013","unstructured":"Despotovic I, Vansteenkiste E, Philips W (2013) Spatially coherent fuzzy clustering for accurate and noise-robust image segmentation. IEEE Signal Process Lett 20(4):295\u2013298","journal-title":"IEEE Signal Process Lett"},{"issue":"4","key":"4593_CR12","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1007\/s00034-012-9531-x","volume":"32","author":"Y Guo","year":"2013","unstructured":"Guo Y, Sengur A (2013) A novel color image segmentation approach based on neutrosophic set and modified fuzzy c-means. Circuits Syst Signal Process 32(4):1699\u20131723","journal-title":"Circuits Syst Signal Process"},{"issue":"2","key":"4593_CR13","first-page":"1","volume":"9","author":"P Kaur","year":"2017","unstructured":"Kaur P (2017) Intuitionistic fuzzy sets based credibilistic fuzzy C-means clustering for medical image segmentation. Int J Inf Technol 9(2):1\u20137","journal-title":"Int J Inf Technol"},{"issue":"2","key":"4593_CR14","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/91.227387","volume":"1","author":"R Krishnapuram","year":"1993","unstructured":"Krishnapuram R, Keller JM (1993) A possibilistic approach to clustering. IEEE Trans Fuzzy Syst 1(2):98\u2013110","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"6","key":"4593_CR15","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1109\/TFUZZ.2003.819844","volume":"11","author":"J Leski","year":"2004","unstructured":"Leski J (2004) Generalized weighted conditional fuzzy clustering. IEEE Trans Fuzzy Syst 11(6):709\u2013715","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"8","key":"4593_CR16","first-page":"1776","volume":"47","author":"T Liu","year":"2019","unstructured":"Liu T, Zhang X, Jia X, Liu S, Zhang Y (2019) Research Progress on Image Segmentation Based on Fuzzy Clustering. Acta Electron Sin 47(8):1776\u20131791","journal-title":"Acta Electron Sin"},{"issue":"5","key":"4593_CR17","doi-asserted-by":"publisher","first-page":"1260","DOI":"10.1109\/21.120079","volume":"21","author":"NR Pal","year":"2002","unstructured":"Pal NR, Pal SK (2002) Entropy: a new definition and its applications. IEEE Trans Syst Man Cybern 21(5):1260\u20131270","journal-title":"IEEE Trans Syst Man Cybern"},{"key":"4593_CR18","doi-asserted-by":"crossref","unstructured":"Pal NR, Pal K, Bezdek JC (1997) A mixed c-means clustering model. In: Proceedings of 6th international fuzzy systems conference, pp 11\u201321","DOI":"10.1109\/FUZZY.1997.616338"},{"issue":"6","key":"4593_CR19","doi-asserted-by":"publisher","first-page":"625","DOI":"10.1016\/0167-8655(96)00027-X","volume":"17","author":"W Pedrycz","year":"1996","unstructured":"Pedrycz W (1996) Conditional fuzzy C-Means. Pattern Recogn Lett 17(6):625\u2013631","journal-title":"Pattern Recogn Lett"},{"issue":"2","key":"4593_CR20","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1006\/cviu.2001.0951","volume":"84","author":"DL Pham","year":"2001","unstructured":"Pham DL (2001) Spatial models for fuzzy clustering. Comput Vis Image Underst 84(2):285\u2013297","journal-title":"Comput Vis Image Underst"},{"issue":"4","key":"4593_CR22","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1080\/03081077908547452","volume":"5","author":"RR Yager","year":"1979","unstructured":"Yager RR (1979) On the measure of fuzziness and negation Part I: Membership in the unit interval. Int J General Syst. 5(4):221\u2013229","journal-title":"Int J General Syst."},{"issue":"3","key":"4593_CR23","doi-asserted-by":"publisher","first-page":"236","DOI":"10.1016\/S0019-9958(80)90156-4","volume":"44","author":"RR Yager","year":"1980","unstructured":"Yager RR (1980) On the measure of fuzziness and negation. II. Lattices. Inf Control 44(3):236\u2013260","journal-title":"Inf Control"},{"issue":"3","key":"4593_CR24","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338\u2013353","journal-title":"Inf Control"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04593-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-019-04593-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-019-04593-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,8]],"date-time":"2020-12-08T00:40:29Z","timestamp":1607388029000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-019-04593-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,9]]},"references-count":23,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["4593"],"URL":"https:\/\/doi.org\/10.1007\/s00500-019-04593-0","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"type":"print","value":"1432-7643"},{"type":"electronic","value":"1433-7479"}],"subject":[],"published":{"date-parts":[[2019,12,9]]},"assertion":[{"value":"9 December 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}