{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:47:11Z","timestamp":1762325231946,"version":"3.37.3"},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,1,29]],"date-time":"2022-01-29T00:00:00Z","timestamp":1643414400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,29]],"date-time":"2022-01-29T00:00:00Z","timestamp":1643414400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61876157"],"award-info":[{"award-number":["61876157"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71571148"],"award-info":[{"award-number":["71571148"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cogn Comput"],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s12559-021-09964-0","type":"journal-article","created":{"date-parts":[[2022,2,1]],"date-time":"2022-02-01T13:03:08Z","timestamp":1643720588000},"page":"2054-2073","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Three-Way Decision Making Based on Data Envelopment Analysis with Interval Data"],"prefix":"10.1007","volume":"14","author":[{"given":"Qinxia","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1768-4598","authenticated-orcid":false,"given":"Dun","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lu","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,29]]},"reference":[{"key":"9964_CR1","doi-asserted-by":"crossref","first-page":"1338","DOI":"10.1007\/s12559-020-09765-x","volume":"12","author":"H Eroglu","year":"2020","unstructured":"Eroglu H, Aahin R. A neutrosophic VIKOR method-based decision-making with an improved distance measure and score function: case study of selection for renewable energy alternatives. Cognit Comput. 2020;12:1338\u201355.","journal-title":"Cognit Comput."},{"key":"9964_CR2","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1007\/s12559-016-9397-5","volume":"8","author":"YY Yao","year":"2016","unstructured":"Yao YY. Three-way decisions and cognitive computing. Cognit Comput. 2016;8:543\u201354.","journal-title":"Cognit Comput."},{"key":"9964_CR3","doi-asserted-by":"crossref","first-page":"6298","DOI":"10.1007\/s10489-020-02142-z","volume":"51","author":"YY Yao","year":"2021","unstructured":"Yao YY. The geometry of three-way decision. Appl Intell. 2021;51:6298\u2013325.","journal-title":"Appl Intell."},{"key":"9964_CR4","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1007\/s13042-019-01040-2","volume":"11","author":"YY Yao","year":"2020","unstructured":"Yao YY. Tri-level thinking: models of three-way decision. Int J Mach Learn Cybern. 2020;11:947\u201359.","journal-title":"Int J Mach Learn Cybern."},{"key":"9964_CR5","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.knosys.2015.08.006","volume":"91","author":"J Qi","year":"2016","unstructured":"Qi J, Qian T, Wei L. The connections between three-way and classical concept lattices. Knowledge-Based Syst. 2016;91:143\u201351.","journal-title":"Knowledge-Based Syst."},{"key":"9964_CR6","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1007\/s13042-016-0585-0","volume":"8","author":"PK Singh","year":"2017","unstructured":"Singh PK. Three-way fuzzy concept lattice representation using neutrosophic set. Int J Mach Learn Cybern. 2017;8:69\u201379.","journal-title":"Int J Mach Learn Cybern."},{"key":"9964_CR7","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1016\/j.knosys.2019.05.016","volume":"180","author":"YY Yao","year":"2019","unstructured":"Yao YY. Three-way conflict analysis: Reformulations and extensions of the Pawlak model. Knowledge-Based Syst. 2019;180:26\u201337.","journal-title":"Knowledge-Based Syst."},{"key":"9964_CR8","volume":"143","author":"XL Chu","year":"2020","unstructured":"Chu XL, Sun BZ, Huang QC, Zhang Y. Preference degree-based multi-granularity sequential three-way group conflict decisions approach to the integration of TCM and Western medicine. Comput Ind Eng. 2020;143:106393.","journal-title":"Comput Ind Eng."},{"key":"9964_CR9","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1109\/TFUZZ.2019.2908123","volume":"28","author":"GM Lang","year":"2020","unstructured":"Lang GM, Miao D, Fujita H. Three-way group conflict analysis based on pythagorean fuzzy set theory. IEEE Trans Fuzzy Syst. 2020;28:447\u201361.","journal-title":"IEEE Trans Fuzzy Syst."},{"key":"9964_CR10","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1016\/j.ins.2014.04.022","volume":"279","author":"XF Deng","year":"2014","unstructured":"Deng XF, Yao YY. Decision-theoretic three-way approximations of fuzzy sets. Inf Sci. 2014;279:702\u201315.","journal-title":"Inf Sci."},{"key":"9964_CR11","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.ijar.2017.03.009","volume":"85","author":"J Qian","year":"2017","unstructured":"Qian J, Dang C, Yue X, Zhang N. Attribute reduction for sequential three-way decisions under dynamic granulation. Int J Approx Reason. 2017;85:196\u2013216.","journal-title":"Int J Approx Reason."},{"key":"9964_CR12","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1016\/j.ijar.2017.06.008","volume":"88","author":"X Zhang","year":"2017","unstructured":"Zhang X, Miao D. Three-way attribute reducts. Int J Approx Reason. 2017;88:401\u201334.","journal-title":"Int J Approx Reason."},{"key":"9964_CR13","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1016\/j.ins.2009.09.021","volume":"180","author":"YY Yao","year":"2010","unstructured":"Yao YY. Three-way decisions with probabilistic rough sets. Inf Sci. 2010;180:341\u201353.","journal-title":"Inf Sci."},{"doi-asserted-by":"crossref","unstructured":"Yao YY, Zhou B. Naive bayesian rough sets. RSKT 2010 Lect Notes Comput Sci. 2010.pp.719-26.","key":"9964_CR14","DOI":"10.1007\/978-3-642-16248-0_97"},{"key":"9964_CR15","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.ijar.2013.02.013","volume":"55","author":"D Liu","year":"2014","unstructured":"Liu D, Li TR, Liang DC. Incorporating logistic regression to decision-theoretic rough sets for classifications. Int J Approx Reason. 2014;55:197\u2013210.","journal-title":"Int J Approx Reason."},{"doi-asserted-by":"crossref","unstructured":"Deng XF, Yao YY. An information-theoretic interpretation of thresholds in probabilistic rough sets. RSKT 2012 Lect Notes Comput Sci. 2012.pp.369-78.","key":"9964_CR16","DOI":"10.1007\/978-3-642-31900-6_46"},{"key":"9964_CR17","doi-asserted-by":"crossref","first-page":"1087","DOI":"10.1016\/j.ijar.2013.03.014","volume":"54","author":"DC Liang","year":"2013","unstructured":"Liang DC, Liu D, Pedrycz W, Hu P. Triangular fuzzy decision-theoretic rough sets. Int J Approx Reason. 2013;54:1087\u2013106.","journal-title":"Int J Approx Reason."},{"key":"9964_CR18","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.ins.2017.02.038","volume":"396","author":"DC Liang","year":"2017","unstructured":"Liang DC, Xu ZS, Liu D. Three-way decisions based on decision-theoretic rough sets with dual hesitant fuzzy information. Inf Sci. 2017;396:127\u201343.","journal-title":"Inf Sci."},{"key":"9964_CR19","doi-asserted-by":"crossref","first-page":"3709","DOI":"10.1016\/j.ins.2011.04.039","volume":"181","author":"D Liu","year":"2011","unstructured":"Liu D, Li TR, Ruan D. Probabilistic model criteria with decision-theoretic rough sets. Inf Sci. 2011;181:3709\u201322.","journal-title":"Inf Sci."},{"key":"9964_CR20","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.ijar.2013.02.010","volume":"55","author":"XY Jia","year":"2014","unstructured":"Jia XY, Tang ZM, Liao WH, Shang L. On an optimization representation of decision-theoretic rough set model. Int J Approx Reason. 2014;55:156\u201366.","journal-title":"Int J Approx Reason."},{"key":"9964_CR21","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.ijar.2013.03.015","volume":"55","author":"N Azam","year":"2014","unstructured":"Azam N, Yao JT. Analyzing uncertainties of probabilistic rough set regions with game-theoretic rough sets. Int J Approx Reason. 2014;55:142\u201355.","journal-title":"Int J Approx Reason."},{"key":"9964_CR22","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.knosys.2015.07.040","volume":"91","author":"HX Li","year":"2016","unstructured":"Li HX, Zhang LB, Huang B, Zhou XZ. Sequential three-way decision and granulation for cost-sensitive face recognition. Knowledge-Based Syst. 2016;91:241\u201351.","journal-title":"Knowledge-Based Syst."},{"key":"9964_CR23","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1016\/j.ins.2016.03.019","volume":"378","author":"HR Zhang","year":"2017","unstructured":"Zhang HR, Min F, Shi B. Regression-based three-way recommendation. Inf Sci. 2017;378:444\u201361.","journal-title":"Inf Sci."},{"key":"9964_CR24","volume":"191","author":"D Liu","year":"2020","unstructured":"Liu D, Ye XQ. A matrix factorization based dynamic granularity recommendation with three-way decisions. Knowledge-Based Syst. 2020;191:105243.","journal-title":"Knowledge-Based Syst."},{"key":"9964_CR25","volume":"168","author":"XQ Ye","year":"2021","unstructured":"Ye XQ, Liu D. An interpretable sequential three-way recommendation based on collaborative topic regression. Expert Syst Appl. 2021;168:114454.","journal-title":"Expert Syst Appl."},{"key":"9964_CR26","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s10844-013-0254-7","volume":"42","author":"B Zhou","year":"2014","unstructured":"Zhou B, Yao YY, Luo JG. Cost-sensitive three-way email spam filtering. J Intell Inf Syst. 2014;42:19\u201345.","journal-title":"J Intell Inf Syst."},{"key":"9964_CR27","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/TFUZZ.2014.2360548","volume":"23","author":"JT Yao","year":"2015","unstructured":"Yao JT, Azam N. Web-based medical decision support systems for three-way medical decision making with game-theoretic rough sets. IEEE Trans Fuzzy Syst. 2015;23:3\u201315.","journal-title":"IEEE Trans Fuzzy Syst."},{"key":"9964_CR28","doi-asserted-by":"crossref","first-page":"180","DOI":"10.1080\/01605682.2019.1654939","volume":"72","author":"D Liang","year":"2021","unstructured":"Liang D, Wang M, Xu Z, Chen X. Risk interval-valued three-way decisions model with regret theory and its application to project resource allocation. J Oper Res Soc. 2021;72:180\u201399.","journal-title":"J Oper Res Soc."},{"key":"9964_CR29","doi-asserted-by":"publisher","DOI":"10.1007\/s13042-021-01402-9","author":"X Wang","year":"2021","unstructured":"Wang X, Wang B, Liu S, Li H, Wang T, Watada J. Fuzzy portfolio selection based on three-way decision and cumulative prospect theory. Int J Mach Learn Cybern. 2021; doi: 10.1007\/s13042-021-01402-9.","journal-title":"Int J Mach Learn Cybern."},{"key":"9964_CR30","first-page":"66","volume":"4","author":"D Liu","year":"2011","unstructured":"Liu D, Yao Y, Li T. Three-way investment decisions with decision-theoretic rough sets. Int J Comput Intell Syst. 2011;4:66\u201374.","journal-title":"Int J Comput Intell Syst."},{"key":"9964_CR31","doi-asserted-by":"crossref","first-page":"2708","DOI":"10.1007\/s40815-020-00836-7","volume":"22","author":"X Li","year":"2020","unstructured":"Li X, Huang X. A novel three-way investment decisions based on decision-theoretic rough sets with hesitant fuzzy information. Int J Fuzzy Syst. 2020;22:2708\u201319.","journal-title":"Int J Fuzzy Syst."},{"key":"9964_CR32","doi-asserted-by":"crossref","first-page":"557","DOI":"10.1016\/j.ins.2021.05.026","volume":"569","author":"HB Jiang","year":"2021","unstructured":"Jiang HB, Hu BQ. A novel three-way group investment decision model under intuitionistic fuzzy multi-attribute group decision-making environment. Inf Sci. 2021;569:557\u201381.","journal-title":"Inf Sci."},{"key":"9964_CR33","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.ins.2018.08.051","volume":"471","author":"F Jia","year":"2019","unstructured":"Jia F, Liu P De. A novel three-way decision model under multiple-criteria environment. Inf Sci. 2019;471:29\u201351.","journal-title":"Inf Sci."},{"key":"9964_CR34","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.knosys.2017.07.001","volume":"133","author":"C Gao","year":"2017","unstructured":"Gao C, Yao Y. Actionable strategies in three-way decisions. Knowledge-Based Syst. 2017;133:141\u201355.","journal-title":"Knowledge-Based Syst."},{"key":"9964_CR35","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.ijar.2017.03.008","volume":"85","author":"HX Li","year":"2017","unstructured":"Li HX, Zhang L, Zhou X, Huang B. Cost-sensitive sequential three-way decision modeling using a deep neural network. Int J Approx Reason. 2017;85:68\u201378.","journal-title":"Int J Approx Reason."},{"key":"9964_CR36","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1016\/0377-2217(78)90138-8","volume":"2","author":"A Charnes","year":"1978","unstructured":"Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision making units. Eur J Oper Res. 1978;2:429\u201344.","journal-title":"Eur J Oper Res."},{"key":"9964_CR37","doi-asserted-by":"crossref","DOI":"10.1016\/j.seps.2020.100960","volume":"76","author":"S Cinaroglu","year":"2021","unstructured":"Cinaroglu S. Changes in hospital efficiency and size: An integrated propensity score matching with data envelopment analysis. Socioecon Plann Sci. 2021;76:100960.","journal-title":"Socioecon Plann Sci."},{"doi-asserted-by":"crossref","unstructured":"Contreras I, Lozano S. Allocating additional resources to public universities. A DEA bargaining approach. Socioecon Plann Sci. 2020;71:100752.","key":"9964_CR38","DOI":"10.1016\/j.seps.2019.100752"},{"key":"9964_CR39","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1016\/j.joi.2017.11.002","volume":"12","author":"GL Yang","year":"2018","unstructured":"Yang GL, Fukuyama H, Song YY. Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model. J Informetr. 2018;12:10\u201330.","journal-title":"J Informetr."},{"key":"9964_CR40","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.ememar.2017.10.005","volume":"34","author":"MQ Wu","year":"2018","unstructured":"Wu MQ, Li CH, Fan JP, Wang XY, Wu ZY. Assessing the global productive efficiency of Chinese banks using the cross-efficiency interval and VIKOR. Emerg Mark Rev. 2018;34:77\u201386.","journal-title":"Emerg Mark Rev."},{"key":"9964_CR41","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.cie.2019.02.008","volume":"131","author":"A Torres-Ruiz","year":"2019","unstructured":"Torres-Ruiz A, Ravindran AR. Use of interval data envelopment analysis, goal programming and dynamic eco-efficiency assessment for sustainable supplier management. Comput Ind Eng. 2019;131:211\u201326.","journal-title":"Comput Ind Eng."},{"key":"9964_CR42","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1016\/j.cor.2017.01.006","volume":"89","author":"E Boudaghi","year":"2018","unstructured":"Boudaghi E, Farzipoor Saen R. Developing a novel model of data envelopment analysis-discriminant analysis for predicting group membership of suppliers in sustainable supply chain. Comput Oper Res. 2018;89:348\u201359.","journal-title":"Comput Oper Res."},{"doi-asserted-by":"crossref","unstructured":"Yang GL, Yang JB, Liu W Bin, Li XX. Cross-efficiency aggregation in DEA models using the evidential-reasoning approach. Eur J Oper Res. 2013;231:393-404.","key":"9964_CR43","DOI":"10.1016\/j.ejor.2013.05.017"},{"key":"9964_CR44","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1007\/s10479-018-2766-6","volume":"271","author":"QX An","year":"2018","unstructured":"An QX, Meng FY, Xiong BB. Interval cross efficiency for fully ranking decision making units using DEA\/AHP approach. Ann Oper Res. 2018;271:297\u2013317.","journal-title":"Ann Oper Res."},{"key":"9964_CR45","doi-asserted-by":"crossref","first-page":"544","DOI":"10.1016\/j.resourpol.2018.09.015","volume":"59","author":"M Namazi","year":"2018","unstructured":"Namazi M, Mohammadi E. Natural resource dependence and economic growth: A TOPSIS\/DEA analysis of innovation efficiency. Resour Policy. 2018;59:544\u201352.","journal-title":"Resour Policy."},{"key":"9964_CR46","doi-asserted-by":"crossref","first-page":"906","DOI":"10.1057\/s41274-017-0237-0","volume":"68","author":"SA Rakhshan","year":"2017","unstructured":"Rakhshan SA. Efficiency ranking of decision making units in data envelopment analysis by using TOPSIS-DEA method. J Oper Res Soc. 2017;68:906\u201318.","journal-title":"J Oper Res Soc."},{"doi-asserted-by":"crossref","unstructured":"Bagherikahvarin M, De Smet Y. A ranking method based on DEA and PROMETHEE II (a rank based on DEA& PR.II). Measurement. 2016;89:333-42.","key":"9964_CR47","DOI":"10.1016\/j.measurement.2016.04.026"},{"key":"9964_CR48","doi-asserted-by":"crossref","DOI":"10.1016\/j.measurement.2019.107330","volume":"152","author":"H Omrani","year":"2020","unstructured":"Omrani H, Amini M, Alizadeh A. An integrated group best-worst method - Data envelopment analysis approach for evaluating road safety: A case of Iran. Measurement. 2020;152:107330.","journal-title":"Measurement."},{"doi-asserted-by":"crossref","unstructured":"Liu D, Liang D. Three-way decisions with DEA Approach. IJCRS 2017 Lect Notes Comput Sci. 2017.pp.226-37.","key":"9964_CR49","DOI":"10.1007\/978-3-319-60840-2_16"},{"key":"9964_CR50","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/S0377-2217(01)00200-4","volume":"140","author":"DK Despotis","year":"2002","unstructured":"Despotis DK, Smirlis YG. Data envelopment analysis with imprecise data. Eur J Oper Res. 2002;140:24\u201336.","journal-title":"Eur J Oper Res."},{"key":"9964_CR51","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.fss.2004.12.011","volume":"153","author":"YM Wang","year":"2005","unstructured":"Wang YM, Greatbanks R, Yang JB. Interval efficiency assessment using data envelopment analysis. Fuzzy Sets Syst. 2005;153:347\u201370.","journal-title":"Fuzzy Sets Syst."},{"key":"9964_CR52","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/S0377-2217(01)00055-8","volume":"136","author":"T Entani","year":"2002","unstructured":"Entani T, Maeda Y, Tanaka H. Dual models of interval DEA and its extension to interval data. Eur J Oper Res. 2002;136:32\u201345.","journal-title":"Eur J Oper Res."},{"key":"9964_CR53","doi-asserted-by":"crossref","first-page":"3237","DOI":"10.1016\/j.apm.2008.10.030","volume":"33","author":"GR Jahanshahloo","year":"2009","unstructured":"Jahanshahloo GR, Hosseinzadeh Lotfi F, Rostamy Malkhalifeh M, Ahadzadeh Namin M. A generalized model for data envelopment analysis with interval data. Appl Math Model. 2009;33:3237\u201344.","journal-title":"Appl Math Model."},{"key":"9964_CR54","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s10479-017-2669-y","volume":"278","author":"Y Yu","year":"2019","unstructured":"Yu Y, Zhu WW, Zhang Q. DEA cross-efficiency evaluation and ranking method based on interval data. Ann Oper Res. 2019;278:159\u201375.","journal-title":"Ann Oper Res."},{"key":"9964_CR55","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1007\/s10479-016-2330-1","volume":"278","author":"BD Rouyendegh","year":"2019","unstructured":"Rouyendegh BD, Oztekin A, Ekong J, Dag A. Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach. Ann Oper Res. 2019;278:361\u201378.","journal-title":"Ann Oper Res."},{"key":"9964_CR56","doi-asserted-by":"crossref","first-page":"4982","DOI":"10.1016\/j.eswa.2015.02.014","volume":"42","author":"J Puri","year":"2015","unstructured":"Puri J, Yadav SP. Intuitionistic fuzzy data envelopment analysis: An application to the banking sector in India. Expert Syst Appl. 2015;42:4982\u201398.","journal-title":"Expert Syst Appl."},{"key":"9964_CR57","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.ins.2018.01.015","volume":"435","author":"DC Liang","year":"2018","unstructured":"Liang DC, Xu ZS, Liu D, Wu Y. Method for three-way decisions using ideal TOPSIS solutions at Pythagorean fuzzy information. Inf Sci. 2018;435:282\u201395.","journal-title":"Inf Sci."},{"key":"9964_CR58","doi-asserted-by":"crossref","first-page":"1886","DOI":"10.1111\/itor.12635","volume":"27","author":"MK Ekiz","year":"2020","unstructured":"Ekiz MK, Tuncer Azakar C. A new DEA approach to fully rank DMUs with an application to MBA programs. Int Trans Oper Res. 2020;27:1886\u2013910.","journal-title":"Int Trans Oper Res."},{"key":"9964_CR59","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.knosys.2017.09.025","volume":"137","author":"D Liu","year":"2017","unstructured":"Liu D, Liang DC. Three-way decisions in ordered decision system. Knowledge-Based Syst. 2017;137:182\u201395.","journal-title":"Knowledge-Based Syst."},{"key":"9964_CR60","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.3007423","author":"JM Zhan","year":"2020","unstructured":"Zhan JM, Jiang HB, Yao YY. Three-way multi-attribute decision-making based on outranking relations. IEEE Trans Fuzzy Syst. 2021;29:2844-58.","journal-title":"IEEE Trans Fuzzy Syst."},{"key":"9964_CR61","doi-asserted-by":"crossref","first-page":"1336","DOI":"10.1057\/jors.2013.90","volume":"65","author":"N Ramon","year":"2014","unstructured":"Ramon N, Ruiz JL, Sirvent I. Dominance relations and ranking of units by using interval number ordering with cross-efficiency intervals. J Oper Res Soc. 2014;65:1336\u201343.","journal-title":"J Oper Res Soc."},{"key":"9964_CR62","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.enggeo.2015.07.023","volume":"197","author":"G Hongmei","year":"2015","unstructured":"Hongmei G, Zhihua W, Dandan J, Guoxing C, Liping J. Fuzzy evaluation on seismic behavior of reservoir dams during the 2008 Wenchuan earthquake, China. Eng Geol. 2015;197:1\u201310.","journal-title":"China. Eng Geol."},{"key":"9964_CR63","doi-asserted-by":"crossref","first-page":"358","DOI":"10.3390\/e18100358","volume":"18","author":"LP Wang","year":"2016","unstructured":"Wang LP, Li L, Hong NX. Entropy cross-efficiency model for decision making units with interval data. Entropy. 2016;18:358.","journal-title":"Entropy."},{"doi-asserted-by":"crossref","unstructured":"Wu J, Sun J Sen, Song ML, Liang L. A ranking method for DMUs with interval data based on DEA cross-efficiency evaluation and TOPSIS. J Syst Sci Syst Eng. 2013;22:191-201.","key":"9964_CR64","DOI":"10.1007\/s11518-013-5216-7"}],"container-title":["Cognitive Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-021-09964-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12559-021-09964-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12559-021-09964-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T14:11:05Z","timestamp":1669039865000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12559-021-09964-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,29]]},"references-count":64,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["9964"],"URL":"https:\/\/doi.org\/10.1007\/s12559-021-09964-0","relation":{},"ISSN":["1866-9956","1866-9964"],"issn-type":[{"type":"print","value":"1866-9956"},{"type":"electronic","value":"1866-9964"}],"subject":[],"published":{"date-parts":[[2022,1,29]]},"assertion":[{"value":"18 November 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 November 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This article does not contain any studies with animals performed by any of the authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval and Consent to Participate"}},{"value":"The authors declare that there is no conflict of interests regarding the publication of this paper.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}