{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T00:00:20Z","timestamp":1785369620296,"version":"3.55.0"},"reference-count":68,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T00:00:00Z","timestamp":1759104000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T00:00:00Z","timestamp":1759104000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100018563","name":"Social Science Planning Project of Shandong Province","doi-asserted-by":"publisher","award":["23CSDJ47"],"award-info":[{"award-number":["23CSDJ47"]}],"id":[{"id":"10.13039\/501100018563","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018563","name":"Social Science Planning Project of Shandong Province","doi-asserted-by":"publisher","award":["23CSDJ47"],"award-info":[{"award-number":["23CSDJ47"]}],"id":[{"id":"10.13039\/501100018563","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2025,11]]},"DOI":"10.1007\/s10586-025-05502-x","type":"journal-article","created":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T18:23:49Z","timestamp":1759170229000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A novel model for failure mode and effect analysis based on K-means clustering under a T-spherical fuzzy environment"],"prefix":"10.1007","volume":"28","author":[{"given":"Lei","family":"Zheng","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lifeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,9,29]]},"reference":[{"key":"5502_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2023.109251","volume":"180","author":"J Sun","year":"2023","unstructured":"Sun, J., Liu, Y., Xu, J., Wang, N., Zhu, F.: A probabilistic uncertain linguistic fmea model based on the extended oreste and regret theory. Comput. Ind. Eng. 180, 109251 (2023)","journal-title":"Comput. Ind. Eng."},{"key":"5502_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.121907","volume":"239","author":"E Ilbahar","year":"2022","unstructured":"Ilbahar, E., Kahraman, C., Cebi, S.: Risk assessment of renewable energy investments: a modified failure mode and effect analysis based on prospect theory and intuitionistic fuzzy ahp. Energy 239, 121907 (2022)","journal-title":"Energy"},{"issue":"3","key":"5502_CR3","doi-asserted-by":"publisher","first-page":"530","DOI":"10.1109\/TFUZZ.2019.2955916","volume":"29","author":"J Huang","year":"2019","unstructured":"Huang, J., Xu, D.-H., Liu, H.-C., Song, M.-S.: A new model for failure mode and effect analysis integrating linguistic z-numbers and projection method. IEEE Trans. Fuzzy Syst. 29(3), 530\u2013538 (2019)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"5502_CR4","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1016\/j.ress.2017.09.017","volume":"169","author":"S Carpitella","year":"2018","unstructured":"Carpitella, S., Certa, A., Izquierdo, J., La Fata, C.M.: A combined multi-criteria approach to support fmeca analyses: a real-world case. Reliabil. Eng. Syst. Safety 169, 394\u2013402 (2018)","journal-title":"Reliabil. Eng. Syst. Safety"},{"issue":"1","key":"5502_CR5","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1002\/qre.3657","volume":"41","author":"Y Tang","year":"2025","unstructured":"Tang, Y., Zhou, D., Zhu, S., Ouyang, L.: A probabilistic uncertain linguistic approach for fmea-based risk assessment. Qual. Reliabil. Eng. Int. 41(1), 51\u201370 (2025)","journal-title":"Qual. Reliabil. Eng. Int."},{"issue":"3","key":"5502_CR6","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1080\/01605682.2020.1854629","volume":"73","author":"S-S He","year":"2022","unstructured":"He, S.-S., Wang, Y.-T., Peng, J.-J., Wang, J.-q.: Risk ranking of wind turbine systems through an improved fmea based on probabilistic linguistic information and the todim method. J. Oper. Res. Soc. 73(3), 467\u2013480 (2022)","journal-title":"J. Oper. Res. Soc."},{"key":"5502_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.107826","volume":"215","author":"P Liu","year":"2021","unstructured":"Liu, P., Li, Y.: An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment. Reliab. Eng. Syst. Safety 215, 107826 (2021)","journal-title":"Reliab. Eng. Syst. Safety"},{"issue":"1","key":"5502_CR8","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1007\/s10726-021-09756-9","volume":"31","author":"J Xiao","year":"2022","unstructured":"Xiao, J., Wang, X., Zhang, H.: Exploring the ordinal classifications of failure modes in the reliability management: an optimization-based consensus model with bounded confidences. Group Decis. Negot. 31(1), 49\u201380 (2022)","journal-title":"Group Decis. Negot."},{"key":"5502_CR9","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1016\/j.inffus.2023.01.012","volume":"93","author":"Z Hua","year":"2023","unstructured":"Hua, Z., Jing, X., Mart\u00ednez, L.: An elicit information-based oreste method for failure mode and effect analysis considering risk correlation with gra-dematel. Inform. Fusion 93, 396\u2013411 (2023)","journal-title":"Inform. Fusion"},{"key":"5502_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108655","volume":"133","author":"A Padash","year":"2024","unstructured":"Padash, A., Fattahi, R., Vahidi, H.: A novel hybrid risk assessment approach under fuzzy environment in steel industry. Eng. Appl. Artif. Intell. 133, 108655 (2024)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"4","key":"5502_CR11","first-page":"1","volume":"5","author":"RF RT","year":"2021","unstructured":"R, F., R, T.-M., M, K.: Risk assessment by a new fmea model based on an extended ahp method under a fuzzy environment. Environ. Energy Econ. Res. 5(4), 1\u201314 (2021)","journal-title":"Environ. Energy Econ. Res."},{"issue":"3","key":"5502_CR12","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh, L.A.: Fuzzy sets. Inform. Control 8(3), 338\u2013353 (1965)","journal-title":"Inform. Control"},{"key":"5502_CR13","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1016\/j.ijar.2018.05.005","volume":"100","author":"K Sohag","year":"2018","unstructured":"Sohag, K., Yiannis, P.: A review of applications of fuzzy sets to safety and reliability engineering. Int. J. Approximate Reasoning 100, 29\u201355 (2018)","journal-title":"Int. J. Approximate Reasoning"},{"key":"5502_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115413","volume":"183","author":"Y Yener","year":"2021","unstructured":"Yener, Y., Can, G.F.: A fmea based novel intuitionistic fuzzy approach proposal: intuitionistic fuzzy advance mcdm and mathematical modeling integration. Expert Syst. Appl. 183, 115413 (2021)","journal-title":"Expert Syst. Appl."},{"issue":"1","key":"5502_CR15","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":"5","key":"5502_CR16","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1002\/int.21584","volume":"28","author":"RR Yager","year":"2013","unstructured":"Yager, R.R., Abbasov, A.M.: Pythagorean membership grades, complex numbers, and decision making. Int. J. Intell. Syst. 28(5), 436\u2013452 (2013)","journal-title":"Int. J. Intell. Syst."},{"issue":"12","key":"5502_CR17","doi-asserted-by":"publisher","first-page":"2236","DOI":"10.3390\/sym13122236","volume":"13","author":"S Almeraz-Dur\u00e1n","year":"2021","unstructured":"Almeraz-Dur\u00e1n, S., P\u00e9rez-Dom\u00ednguez, L.A., Luviano-Cruz, D., Hern\u00e1ndez Hern\u00e1ndez, J.I., Romero L\u00f3pez, R., Valle-Rosales, D.J.: A proposed framework for developing fmea method using pythagorean fuzzy codas. Symmetry 13(12), 2236 (2021)","journal-title":"Symmetry"},{"key":"5502_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116945","volume":"200","author":"M Akram","year":"2022","unstructured":"Akram, M., Luqman, A., Alcantud, J.: An integrated electre-i approach for risk evaluation with hesitant pythagorean fuzzy information. Expert Syst. Appl. 200, 116945 (2022)","journal-title":"Expert Syst. Appl."},{"issue":"5","key":"5502_CR19","doi-asserted-by":"publisher","first-page":"1222","DOI":"10.1109\/TFUZZ.2016.2604005","volume":"25","author":"RR Yager","year":"2016","unstructured":"Yager, R.R.: Generalized orthopair fuzzy sets. IEEE Trans. Fuzzy Syst. 25(5), 1222\u20131230 (2016)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"6","key":"5502_CR20","first-page":"529","volume":"25","author":"V Torra","year":"2010","unstructured":"Torra, V.: Hesitant fuzzy sets. Int. J. Intell. Syst. 25(6), 529\u2013539 (2010)","journal-title":"Int. J. Intell. Syst."},{"key":"5502_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124595","volume":"255","author":"C Zhu","year":"2024","unstructured":"Zhu, C., Liu, X., Ding, W., Zhang, S.: Cloud model-based multi-stage multi-attribute decision-making method under probabilistic interval-valued hesitant fuzzy environment. Expert Syst. Appl. 255, 124595 (2024)","journal-title":"Expert Syst. Appl."},{"issue":"000","key":"5502_CR22","first-page":"37","volume":"678","author":"J Jiang","year":"2024","unstructured":"Jiang, J., Liu, X., Wang, Z., Ding, W., Zhang, S., Xu, H.: Large group decision-making with a rough integrated asymmetric cloud model under multi-granularity linguistic environment. Inform. Sci. 678(000), 37 (2024)","journal-title":"Inform. Sci."},{"key":"5502_CR23","doi-asserted-by":"crossref","unstructured":"Cuong, B.C., Kreinovich, V.: Picture fuzzy sets-a new concept for computational intelligence problems. In: 2013 Third World Congress on Information and Communication Technologies (WICT 2013), pp. 1\u20136 (2013). IEEE","DOI":"10.1109\/WICT.2013.7113099"},{"key":"5502_CR24","doi-asserted-by":"publisher","first-page":"7041","DOI":"10.1007\/s00521-018-3521-2","volume":"31","author":"T Mahmood","year":"2019","unstructured":"Mahmood, T., Ullah, K., Khan, Q., Jan, N.: An approach toward decision-making and medical diagnosis problems using the concept of spherical fuzzy sets. Neural Comput. Appl. 31, 7041\u20137053 (2019)","journal-title":"Neural Comput. Appl."},{"issue":"000","key":"5502_CR25","first-page":"29","volume":"661","author":"N Jan","year":"2024","unstructured":"Jan, N., Gwak, J., Pamucar, D., Kang, H.: An integrated complex t-spherical fuzzy set and soft set model for quantum computing and energy resource planning. Inform. Sci. 661(000), 29 (2024)","journal-title":"Inform. Sci."},{"issue":"12","key":"5502_CR26","doi-asserted-by":"publisher","first-page":"17524","DOI":"10.1007\/s11227-024-06129-2","volume":"80","author":"A Shafiq","year":"2024","unstructured":"Shafiq, A., Naz, S., Butt, S.A., Pieres-Espitia, G.: Enhancing learning environments with iot: a novel decision-making approach using probabilistic linguistic t-spherical fuzzy set. J. Supercomput. 80(12), 17524\u201317574 (2024)","journal-title":"J. Supercomput."},{"issue":"4","key":"5502_CR27","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1007\/s41066-022-00355-w","volume":"8","author":"M Saad","year":"2023","unstructured":"Saad, M., Rafiq, A.: Correlation coefficients for t-spherical fuzzy sets and their applications in pattern analysis and multi-attribute decision-making. Granular Comput. 8(4), 851\u2013862 (2023)","journal-title":"Granular Comput."},{"issue":"5","key":"5502_CR28","first-page":"6321","volume":"43","author":"M Saad","year":"2022","unstructured":"Saad, M., Rafiq, A.: Novel similarity measures for t-spherical fuzzy sets and their applications in pattern recognition and clustering. J. Intell. Fuzzy Syst.: Appl. Eng. Technol. 43(5), 6321\u20136331 (2022)","journal-title":"J. Intell. Fuzzy Syst.: Appl. Eng. Technol."},{"key":"5502_CR29","doi-asserted-by":"publisher","first-page":"1647","DOI":"10.1007\/s00500-019-03993-6","volume":"24","author":"K Ullah","year":"2020","unstructured":"Ullah, K., Garg, H., Mahmood, T., Jan, N., Ali, Z.: Correlation coefficients for t-spherical fuzzy sets and their applications in clustering and multi-attribute decision making. Soft. Comput. 24, 1647\u20131659 (2020)","journal-title":"Soft. Comput."},{"key":"5502_CR30","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.ssci.2017.10.018","volume":"102","author":"R Fattahi","year":"2018","unstructured":"Fattahi, R., Khalilzadeh, M.: Risk evaluation using a novel hybrid method based on fmea, extended multimoora, and ahp methods under fuzzy environment. Saf. Sci. 102, 290\u2013300 (2018)","journal-title":"Saf. Sci."},{"key":"5502_CR31","doi-asserted-by":"crossref","unstructured":"Fattahi, R., Tavakkoli-Moghaddam, R., Khalilzadeh, M., shahsavaripour, Soltani, R.: A novel fmea model based on fuzzy multiple criteria decision making methods for risk assessment. J. Enterprise Inform. Manag. ahead-of-print(ahead-of-print) (2020)","DOI":"10.1108\/JEIM-09-2019-0282"},{"issue":"4","key":"5502_CR32","first-page":"733","volume":"3","author":"K Maheswaran","year":"2013","unstructured":"Maheswaran, K., Loganathan, T.: A novel approach for prioritization of failure modes in fmea using mcdm. Int. J. Eng. Res. Appl. 3(4), 733\u2013739 (2013)","journal-title":"Int. J. Eng. Res. Appl."},{"key":"5502_CR33","doi-asserted-by":"publisher","first-page":"15733","DOI":"10.1007\/s00500-020-04903-x","volume":"24","author":"H-W Lo","year":"2020","unstructured":"Lo, H.-W., Shiue, W., Liou, J.J., Tzeng, G.-H.: A hybrid mcdm-based fmea model for identification of critical failure modes in manufacturing. Soft. Comput. 24, 15733\u201315745 (2020)","journal-title":"Soft. Comput."},{"key":"5502_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.engfailanal.2021.105768","volume":"130","author":"S Boral","year":"2021","unstructured":"Boral, S., Chakraborty, S.: Failure analysis of cnc machines due to human errors: an integrated it2f-mcdm-based fmea approach. Eng. Fail. Anal. 130, 105768 (2021)","journal-title":"Eng. Fail. Anal."},{"key":"5502_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110206","volume":"138","author":"S-S Lin","year":"2023","unstructured":"Lin, S.-S., Zhou, A., Shen, S.-L.: Safety assessment of excavation system via topsis-based mcdm modelling in fuzzy environment. Appl. Soft Comput. 138, 110206 (2023)","journal-title":"Appl. Soft Comput."},{"issue":"3","key":"5502_CR36","first-page":"1835","volume":"42","author":"F Tufail","year":"2022","unstructured":"Tufail, F., Shabir, M.: Vikor method for mcdm based on bipolar fuzzy soft beta-covering based bipolar fuzzy rough set model and its application to site selection of solar power plant. J. Intell. Fuzzy Syst.: Appl. Eng. Technol. 42(3), 1835\u20131857 (2022)","journal-title":"J. Intell. Fuzzy Syst.: Appl. Eng. Technol."},{"key":"5502_CR37","first-page":"78","volume":"35","author":"A Sudha","year":"2020","unstructured":"Sudha, A., Gomes, L., Vijayalakshmi, K.: Assessment of mcdm problems by todim using aggregated weights. Neutrosophic Sets Syst. 35, 78\u201398 (2020)","journal-title":"Neutrosophic Sets Syst."},{"key":"5502_CR38","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.cie.2019.02.027","volume":"130","author":"S-H Xiong","year":"2019","unstructured":"Xiong, S.-H., Chen, Z.-S., Chang, J.-P., Chin, K.-S.: On extended power average operators for decision-making: a case study in emergency response plan selection of civil aviation. Comput. Ind. Eng. 130, 258\u2013271 (2019)","journal-title":"Comput. Ind. Eng."},{"issue":"3","key":"5502_CR39","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1007\/s12559-019-09678-4","volume":"12","author":"H Garg","year":"2020","unstructured":"Garg, H., Rani, D.: Generalized geometric aggregation operators based on t-norm operations for complex intuitionistic fuzzy sets and their application to decision-making. Cogn. Comput. 12(3), 679\u2013698 (2020)","journal-title":"Cogn. Comput."},{"issue":"1","key":"5502_CR40","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1007\/s10462-020-09857-y","volume":"54","author":"P Liu","year":"2021","unstructured":"Liu, P., Liu, W.: Dual generalized bonferroni mean operators based on 2-dimensional uncertain linguistic information and their applications in multi-attribute decision making. Artif. Intell. Rev.: Int. Sci. Eng. J. 54(1), 491\u2013517 (2021)","journal-title":"Artif. Intell. Rev.: Int. Sci. Eng. J."},{"key":"5502_CR41","doi-asserted-by":"publisher","first-page":"1728","DOI":"10.1007\/s40815-021-01064-3","volume":"23","author":"Y Rong","year":"2021","unstructured":"Rong, Y., Liu, Y., Pei, Z.: Interval-valued intuitionistic fuzzy generalised bonferroni mean operators for multi-attribute decision making. Int. J. Fuzzy Syst. 23, 1728\u20131754 (2021)","journal-title":"Int. J. Fuzzy Syst."},{"key":"5502_CR42","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-021-09953-7","author":"M Lin","year":"2022","unstructured":"Lin, M., Li, X., Chen, R., Fujita, H., Lin, J.: Picture fuzzy interactional partitioned heronian mean aggregation operators: an application to madm process. Artif. Intell. Rev. (2022). https:\/\/doi.org\/10.1007\/s10462-021-09953-7","journal-title":"Artif. Intell. Rev."},{"issue":"5","key":"5502_CR43","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1109\/TFUZZ.2020.2965887","volume":"29","author":"Z Ai","year":"2020","unstructured":"Ai, Z., Xu, Z., Yager, R.R., Ye, J.: q-rung orthopair fuzzy integrals in the frame of continuous archimedean t-norms and t-conorms and their application. IEEE Trans. Fuzzy Syst. 29(5), 996\u20131007 (2020)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"5502_CR44","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.ins.2021.04.022","volume":"569","author":"H-G Peng","year":"2021","unstructured":"Peng, H.-G., Wang, X.-K., Zhang, H.-Y., Wang, J.-q.: Group decision-making based on the aggregation of z-numbers with archimedean t-norms and t-conorms. Inform. Sci. 569, 264\u2013286 (2021)","journal-title":"Inform. Sci."},{"issue":"6","key":"5502_CR45","doi-asserted-by":"publisher","first-page":"2218","DOI":"10.1007\/s40815-023-01502-4","volume":"25","author":"X Wu","year":"2023","unstructured":"Wu, X., Ali, Z., Liu, M.P.: A multi-attribute decision-making method with complex q-rung orthopair fuzzy soft information based on einstein geometric aggregation operators. Int. J. Fuzzy Syst. 25(6), 2218\u20132233 (2023)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"8","key":"5502_CR46","doi-asserted-by":"publisher","first-page":"8955","DOI":"10.1007\/s10462-022-10376-1","volume":"56","author":"J Li","year":"2023","unstructured":"Li, J., Chen, M., Pei, S.: Generalizedq-rung orthopair fuzzy interactive hamacher power average and heronian means for madm. Artif. Intell. Rev. 56(8), 8955\u20139008 (2023)","journal-title":"Artif. Intell. Rev."},{"issue":"5","key":"5502_CR47","doi-asserted-by":"publisher","first-page":"4217","DOI":"10.1007\/s00500-023-09440-x","volume":"28","author":"R Zhang","year":"2024","unstructured":"Zhang, R., Ye, J.: Multiple attribute decision making technique using single-valued neutrosophic trigonometric dombi aggregation operators. Soft. Comput. 28(5), 4217\u20134234 (2024)","journal-title":"Soft. Comput."},{"issue":"000","key":"5502_CR48","first-page":"23","volume":"102","author":"J Jiang","year":"2024","unstructured":"Jiang, J., Liu, X., Wang, Z., Ding, W., Zhang, S.: Large group emergency decision-making with bi-directional trust in social networks: a probabilistic hesitant fuzzy integrated cloud approach. Inform. Fusion 102(000), 23 (2024)","journal-title":"Inform. Fusion"},{"key":"5502_CR49","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.ins.2022.11.139","volume":"622","author":"AM Ikotun","year":"2023","unstructured":"Ikotun, A.M., Ezugwu, A.E., Abualigah, L., Abuhaija, B., Heming, J.: K-means clustering algorithms: a comprehensive review, variants analysis, and advances in the era of big data. Inf. Sci. 622, 178\u2013210 (2023)","journal-title":"Inf. Sci."},{"key":"5502_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2021.101922","volume":"135","author":"A Latifi-Pakdehi","year":"2021","unstructured":"Latifi-Pakdehi, A., Daneshpour, N.: Dbhc: a dbscan-based hierarchical clustering algorithm. Data Knowl. Eng. 135, 101922 (2021)","journal-title":"Data Knowl. Eng."},{"issue":"1","key":"5502_CR51","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.apr.2019.09.009","volume":"11","author":"P Govender","year":"2020","unstructured":"Govender, P., Sivakumar, V.: Application of k-means and hierarchical clustering techniques for analysis of air pollution: a review (1980\u20132019). Atmos. Pollut. Res. 11(1), 40\u201356 (2020)","journal-title":"Atmos. Pollut. Res."},{"key":"5502_CR52","volume":"227","author":"S Askari","year":"2020","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. 227, 113856 (2020)","journal-title":"Expert Syst. Appl."},{"key":"5502_CR53","doi-asserted-by":"crossref","unstructured":"A, I.D.B., A, R.E.P., A, A.B.B.: (2022) Improvement of k-means cluster quality by post processing resulted clusters. Procedia Comput. Sci. 199:63\u201370","DOI":"10.1016\/j.procs.2022.01.009"},{"key":"5502_CR54","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109404","volume":"139","author":"H Hu","year":"2023","unstructured":"Hu, H., Liu, J., Zhang, X., Fang, M.: An effective and adaptable k-means algorithm for big data cluster analysis. Pattern Recogn. 139, 109404 (2023)","journal-title":"Pattern Recogn."},{"issue":"2","key":"5502_CR55","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1007\/s40192-021-00205-8","volume":"10","author":"R Cohn","year":"2021","unstructured":"Cohn, R., Holm, E.: Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data. Integrat. Mater. Manuf. Innov. 10(2), 231\u2013244 (2021)","journal-title":"Integrat. Mater. Manuf. Innov."},{"issue":"1","key":"5502_CR56","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/s11334-020-00372-5","volume":"17","author":"S Bandyopadhyay","year":"2021","unstructured":"Bandyopadhyay, S., Thakur, S., Mandal, J.: Product recommendation for e-commerce business by applying principal component analysis (pca) and k-means clustering: benefit for the society. Innov. Syst. Softw. Eng. 17(1), 45\u201352 (2021)","journal-title":"Innov. Syst. Softw. Eng."},{"key":"5502_CR57","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109189","volume":"251","author":"H-L Minh","year":"2022","unstructured":"Minh, H.-L., Sang-To, T., Wahab, M.A., Cuong-Le, T.: A new metaheuristic optimization based on k-means clustering algorithm and its application to structural damage identification. Knowl.-Based Syst. 251, 109189 (2022)","journal-title":"Knowl.-Based Syst."},{"key":"5502_CR58","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2023.119608","volume":"648","author":"P Liu","year":"2023","unstructured":"Liu, P., Shen, M., Wu, X., Yu, L.: Probabilistic double hierarchy linguistic risk analysis based on failure mode and effects analysis and s-aras method. Inf. Sci. 648, 119608 (2023)","journal-title":"Inf. Sci."},{"key":"5502_CR59","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1016\/j.cie.2019.06.055","volume":"135","author":"H-C Liu","year":"2019","unstructured":"Liu, H.-C., Chen, X.-Q., Duan, C.-Y., Wang, Y.-M.: Failure mode and effect analysis using multi-criteria decision making methods: a systematic literature review. Comput. Indust. Eng. 135, 881\u2013897 (2019)","journal-title":"Comput. Indust. Eng."},{"key":"5502_CR60","doi-asserted-by":"publisher","first-page":"1521","DOI":"10.1007\/s40815-020-00820-1","volume":"22","author":"L Zedam","year":"2020","unstructured":"Zedam, L., Jan, N., Rak, E., Mahmood, T., Ullah, K.: An approach towards decision-making and shortest path problems based on t-spherical fuzzy information. Int. J. Fuzzy Syst. 22, 1521\u20131534 (2020)","journal-title":"Int. J. Fuzzy Syst."},{"issue":"6","key":"5502_CR61","doi-asserted-by":"publisher","first-page":"193","DOI":"10.3390\/sym10060193","volume":"10","author":"K Ullah","year":"2018","unstructured":"Ullah, K., Mahmood, T., Jan, N.: Similarity measures for t-spherical fuzzy sets with applications in pattern recognition. Symmetry 10(6), 193 (2018)","journal-title":"Symmetry"},{"issue":"19","key":"5502_CR62","doi-asserted-by":"publisher","first-page":"10371","DOI":"10.1007\/s00500-022-07287-2","volume":"26","author":"W Yang","year":"2022","unstructured":"Yang, W., Pang, Y.: T-spherical fuzzy oreste method based on cross-entropy measures and its application in multiple attribute decision-making. Soft. Comput. 26(19), 10371\u201310387 (2022)","journal-title":"Soft. Comput."},{"key":"5502_CR63","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120819","volume":"676","author":"H Farid","year":"2024","unstructured":"Farid, H., Riaz, M., Kausar, R., Simic, V.: Assessment of environment-conscious propulsion technologies for road freight distribution based on t-spherical fuzzy schweizer-sklar power operators. Inf. Sci. 676, 120819 (2024)","journal-title":"Inf. Sci."},{"issue":"1","key":"5502_CR64","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.jcss.2012.07.001","volume":"79","author":"P Liu","year":"2013","unstructured":"Liu, P.: Some generalized dependent aggregation operators with intuitionistic linguistic numbers and their application to group decision making. J. Comput. Syst. Sci. 79(1), 131\u2013143 (2013)","journal-title":"J. Comput. Syst. Sci."},{"issue":"2","key":"5502_CR65","doi-asserted-by":"publisher","first-page":"552","DOI":"10.1109\/TR.2022.3194057","volume":"72","author":"G Huang","year":"2022","unstructured":"Huang, G., Xiao, L., Pedrycz, W., Zhang, G., Martinez, L.: Failure mode and effect analysis using t-spherical fuzzy maximizing deviation and combined comparison solution methods. IEEE Trans. Reliab. 72(2), 552\u2013573 (2022)","journal-title":"IEEE Trans. Reliab."},{"key":"5502_CR66","first-page":"1","volume":"2","author":"M Munir","year":"2021","unstructured":"Munir, M., Mahmood, T., Hussain, A.: Algorithm for t-spherical fuzzy madm based on associated immediate probability interactive geometric aggregation operators. Artif. Intell. Rev. 2, 1\u201329 (2021)","journal-title":"Artif. Intell. Rev."},{"issue":"11","key":"5502_CR67","doi-asserted-by":"publisher","first-page":"5675","DOI":"10.1007\/s00521-020-05350-3","volume":"33","author":"JCR Akram","year":"2021","unstructured":"Akram, J.C.R.: Anam Alcantud: Risk evaluation in failure modes and effects analysis: hybrid topsis and electre i solutions with pythagorean fuzzy information. Neural Comput. Appl. 33(11), 5675\u20135703 (2021)","journal-title":"Neural Comput. Appl."},{"issue":"8","key":"5502_CR68","doi-asserted-by":"publisher","first-page":"6157","DOI":"10.1007\/s00500-021-05605-8","volume":"25","author":"M Gul","year":"2021","unstructured":"Gul, M., Ak, M.F.: A modified failure modes and effects analysis using interval-valued spherical fuzzy extension of topsis method: case study in a marble manufacturing facility. Soft. Comput. 25(8), 6157\u20136178 (2021)","journal-title":"Soft. Comput."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-025-05502-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-025-05502-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-025-05502-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,27]],"date-time":"2025-11-27T11:02:06Z","timestamp":1764241326000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-025-05502-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,29]]},"references-count":68,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2025,11]]}},"alternative-id":["5502"],"URL":"https:\/\/doi.org\/10.1007\/s10586-025-05502-x","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,29]]},"assertion":[{"value":"4 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 May 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 May 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 September 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"881"}}