{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,14]],"date-time":"2026-03-14T05:08:33Z","timestamp":1773464913774,"version":"3.50.1"},"reference-count":84,"publisher":"Springer Science and Business Media LLC","issue":"S5","license":[{"start":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T00:00:00Z","timestamp":1609718400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T00:00:00Z","timestamp":1609718400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41807259"],"award-info":[{"award-number":["41807259"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012486","name":"Innovation-Driven Project of Central South University","doi-asserted-by":"publisher","award":["2020CX040"],"award-info":[{"award-number":["2020CX040"]}],"id":[{"id":"10.13039\/501100012486","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key R&D Program of China","doi-asserted-by":"crossref","award":["2017YFC0602902"],"award-info":[{"award-number":["2017YFC0602902"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Engineering with Computers"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s00366-020-01230-5","type":"journal-article","created":{"date-parts":[[2021,1,4]],"date-time":"2021-01-04T00:03:13Z","timestamp":1609718593000},"page":"3789-3809","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4769-4487","authenticated-orcid":false,"given":"Jian","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Chao","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0368-3188","authenticated-orcid":false,"given":"Manoj","family":"Khandelwal","sequence":"additional","affiliation":[]},{"given":"Ming","family":"Tao","sequence":"additional","affiliation":[]},{"given":"Chuanqi","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,4]]},"reference":[{"key":"1230_CR1","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1016\/j.ijrmms.2008.09.012","volume":"46","author":"F Melo","year":"2009","unstructured":"Melo F, Vivanco F, Fuentes C (2009) Calculated isolated extracted and movement zones compared to scaled models for block caving. Int J Rock Mech Min Sci 46:731\u2013737. https:\/\/doi.org\/10.1016\/j.ijrmms.2008.09.012","journal-title":"Int J Rock Mech Min Sci"},{"issue":"6","key":"1230_CR2","first-page":"6","volume":"48","author":"X Chen","year":"2019","unstructured":"Chen X, Liu Y, Ge Q et al (2019) Study on caving fragmentation prediction of block caving with BCF software. China Mine Eng 48(6):6\u20139","journal-title":"China Mine Eng"},{"key":"1230_CR3","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.ijrmms.2018.12.011","volume":"114","author":"V S\u00e1nchez","year":"2019","unstructured":"S\u00e1nchez V, Castro RL, Palma S (2019) Gravity flow characterization of fine granular material for Block Caving. Int J Rock Mech Min Sci 114:24\u201332. https:\/\/doi.org\/10.1016\/j.ijrmms.2018.12.011","journal-title":"Int J Rock Mech Min Sci"},{"key":"1230_CR4","unstructured":"Zhang D (2003) Rock mechanics of block caving method and ore-caved fragmentation. In: Proceedings of the fifth annual conference of China nonferrous metals society, Beijing, China, pp 95\u201396+122"},{"issue":"1","key":"1230_CR5","first-page":"9","volume":"46","author":"L Guo","year":"2020","unstructured":"Guo L, Hou K, Feng X et al (2020) Risk assessment of natural caving mining process in Pulang copper mine based on FSE\u2013ANP. Ind Saf Environ Prot 46(1):9\u201312","journal-title":"Ind Saf Environ Prot"},{"key":"1230_CR6","doi-asserted-by":"publisher","first-page":"101586","DOI":"10.1016\/j.resourpol.2020.101586","volume":"65","author":"R Noriega","year":"2020","unstructured":"Noriega R, Pourrahimian Y, Ben-Awuah E (2020) A two-step mathematical programming framework for undercut horizon optimization in block caving mines. Resour Policy 65:101586. https:\/\/doi.org\/10.1016\/j.resourpol.2020.101586","journal-title":"Resour Policy"},{"issue":"2","key":"1230_CR7","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1007\/s40098-014-0119-1","volume":"45","author":"J Someehneshin","year":"2015","unstructured":"Someehneshin J, Oraee-Mirzamani B, Oraee K (2015) Analytical model determining the optimal block size in the block caving mining method. Indian Geotech J 45(2):156\u2013168. https:\/\/doi.org\/10.1007\/s40098-014-0119-1","journal-title":"Indian Geotech J"},{"issue":"5","key":"1230_CR8","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/s00603-009-0069-6","volume":"43","author":"A Vyazmensky","year":"2010","unstructured":"Vyazmensky A, Elmo D, Stead D (2010) Role of rock mass fabric and faulting in the development of block caving induced surface subsidence. Rock Mech Rock Eng 43(5):533\u2013556. https:\/\/doi.org\/10.1007\/s00603-009-0069-6","journal-title":"Rock Mech Rock Eng"},{"issue":"6","key":"1230_CR9","doi-asserted-by":"publisher","first-page":"860","DOI":"10.1016\/j.ijrmms.2007.01.001","volume":"44","author":"R Castro","year":"2007","unstructured":"Castro R, Trueman R, Halim A (2007) A study of isolated draw zones in block caving mines by means of a large 3D physical model. Int J Rock Mech Min Sci 44(6):860\u2013870. https:\/\/doi.org\/10.1016\/j.ijrmms.2007.01.001","journal-title":"Int J Rock Mech Min Sci"},{"issue":"3","key":"1230_CR10","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1007\/s00603-016-1107-9","volume":"50","author":"LF Orellana","year":"2017","unstructured":"Orellana LF, Castro R, Hekmat A et al (2017) Productivity of a continuous mining system for block caving mines. Rock Mech Rock Eng 50(3):657\u2013663. https:\/\/doi.org\/10.1007\/s00603-016-1107-9","journal-title":"Rock Mech Rock Eng"},{"key":"1230_CR11","doi-asserted-by":"publisher","first-page":"104237","DOI":"10.1016\/j.ijrmms.2020.104237","volume":"127","author":"R Castro","year":"2020","unstructured":"Castro R, G\u00f3mez R, Pierce M et al (2020) Experimental quantification of vertical stresses during gravity flow in block caving. Int J Rock Mech Min Sci 127:104237. https:\/\/doi.org\/10.1016\/j.ijrmms.2020.104237","journal-title":"Int J Rock Mech Min Sci"},{"issue":"1","key":"1230_CR12","doi-asserted-by":"publisher","first-page":"50","DOI":"10.19534\/j.cnki.zyxxygc.2019.01.024","volume":"34","author":"L Guo","year":"2019","unstructured":"Guo L, Sun W, Feng X et al (2019) Identification of dangerous sources of natural caving mining technology in Pulang copper mine. Resour Inf Eng 34(1):50\u201351. https:\/\/doi.org\/10.19534\/j.cnki.zyxxygc.2019.01.024","journal-title":"Resour Inf Eng"},{"key":"1230_CR13","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.ijrmms.2013.01.015","volume":"61","author":"K-S Woo","year":"2013","unstructured":"Woo K-S, Eberhardt E, Elmo D et al (2013) Empirical investigation and characterization of surface subsidence related to block cave mining. Int J Rock Mech Min Sci 61:31\u201342. https:\/\/doi.org\/10.1016\/j.ijrmms.2013.01.015","journal-title":"Int J Rock Mech Min Sci"},{"key":"1230_CR14","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.ijrmms.2015.03.028","volume":"77","author":"R Rafiee","year":"2015","unstructured":"Rafiee R, Ataei M, Khalookakaie R (2015) A new cavability index in block caving mines using fuzzy rock engineering system. Int J Rock Mech Min Sci 77:68\u201376","journal-title":"Int J Rock Mech Min Sci"},{"key":"1230_CR15","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.ijrmms.2018.03.001","volume":"105","author":"R Rafiee","year":"2018","unstructured":"Rafiee R, Ataei M, KhalooKakaie R et al (2018) Numerical modeling of influence parameters in cavabililty of rock mass in block caving mines. Int J Rock Mech Min Sci 105:22\u201327. https:\/\/doi.org\/10.1016\/j.ijrmms.2018.03.001","journal-title":"Int J Rock Mech Min Sci"},{"issue":"12","key":"1230_CR16","doi-asserted-by":"publisher","first-page":"2177","DOI":"10.1080\/0305215X.2018.1439943","volume":"50","author":"M Wang","year":"2018","unstructured":"Wang M, Shi X, Zhou J et al (2018) Multi-planar detection optimization algorithm for the interval charging structure of large-diameter longhole blasting design based on rock fragmentation aspects. Eng Optim 50(12):2177\u20132191","journal-title":"Eng Optim"},{"key":"1230_CR17","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-019-00822-0","author":"J Zhou","year":"2019","unstructured":"Zhou J, Li C, Arslan CA et al (2019) Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting. Eng Comput.\u00a0https:\/\/doi.org\/10.1007\/s00366-019-00822-0","journal-title":"Eng Comput"},{"issue":"11","key":"1230_CR18","doi-asserted-by":"publisher","first-page":"3511","DOI":"10.12733\/jics20101979","volume":"10","author":"X Shi","year":"2013","unstructured":"Shi X, Huang D, Zhou J et al (2013) Combined ANN prediction model for rock fragmentation distribution due to blasting. J Inf Comput Sci 10(11):3511\u20133518","journal-title":"J Inf Comput Sci"},{"issue":"2","key":"1230_CR19","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1016\/S1003-6326(11)61195-3","volume":"22","author":"X Shi","year":"2012","unstructured":"Shi X, Zhou J, Wu B et al (2012) Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction. Trans Nonferrous Met Soc China 22(2):432\u2013441","journal-title":"Trans Nonferrous Met Soc China"},{"key":"1230_CR20","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/j.ijrmms.2018.08.004","volume":"110","author":"M Wang","year":"2018","unstructured":"Wang M, Shi X, Zhou J (2018) Charge design scheme optimization for ring blasting based on the developed scaled Heelan model. Int J Rock Mech Min Sci 110:199\u2013209","journal-title":"Int J Rock Mech Min Sci"},{"issue":"2","key":"1230_CR21","doi-asserted-by":"publisher","first-page":"04019002","DOI":"10.1061\/(ASCE)CF.1943-5509.0001263","volume":"33","author":"M Wang","year":"2019","unstructured":"Wang M, Shi X, Zhou J (2019) Optimal charge scheme calculation for multiring blasting using modified harries mathematical model. J Perform Constr Facil 33(2):04019002","journal-title":"J Perform Constr Facil"},{"issue":"7","key":"1230_CR22","first-page":"1236","volume":"27","author":"XB Li","year":"2017","unstructured":"Li XB, Zhou J, Wang SF, Liu B (2017) Review and practice of deep mining for solid mineral resources. Chin J Nonferrous Met 27(7):1236\u20131262","journal-title":"Chin J Nonferrous Met"},{"issue":"10","key":"1230_CR23","first-page":"279","volume":"94","author":"D Laubscher","year":"1994","unstructured":"Laubscher D (1994) Cave mining\u2014the state of the art. J S Afr Inst Min Metall 94(10):279\u2013293","journal-title":"J S Afr Inst Min Metall"},{"key":"1230_CR24","unstructured":"Brown E (2002) Block caving geomechanics. Julius Kruttschnitt Mineral Research Centre, The University of Queensland"},{"issue":"2","key":"1230_CR25","doi-asserted-by":"publisher","first-page":"6","DOI":"10.13827\/j.cnki.kyyk.2014.02.003","volume":"34","author":"F Jiang","year":"2014","unstructured":"Jiang F, Li X, Zhang H et al (2014) Research on block caving fragmentation prediction and its distribution of thick orebody with steep dip angle. Ming Res Dev 34(2):6\u201310. https:\/\/doi.org\/10.13827\/j.cnki.kyyk.2014.02.003","journal-title":"Ming Res Dev"},{"key":"1230_CR26","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.powtec.2019.11.110","volume":"362","author":"V Balakrishnan","year":"2020","unstructured":"Balakrishnan V, Pradhan M, Dhekne PY (2020) Investigating rock fragmentation in distributed spherical air-gap blasting technique. Powder Technol 362:101\u2013110. https:\/\/doi.org\/10.1016\/j.powtec.2019.11.110","journal-title":"Powder Technol"},{"issue":"2","key":"1230_CR27","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/s00603-002-0039-8","volume":"36","author":"LG Wang","year":"2003","unstructured":"Wang LG, Yamashita S, Sugimoto F et al (2003) A methodology for predicting the in situ size and shape distribution of rock blocks. Rock Mech Rock Eng 36(2):121\u2013142. https:\/\/doi.org\/10.1007\/s00603-002-0039-8","journal-title":"Rock Mech Rock Eng"},{"issue":"3","key":"1230_CR28","doi-asserted-by":"publisher","first-page":"19","DOI":"10.13828\/j.cnki.ckjs.2017.03.007","volume":"17","author":"J Chen","year":"2017","unstructured":"Chen J, Li X, Li W (2017) Research on block prediction and control technology of natural caving method in Yechangping molybdenum mine. Min Technol 17(3):19\u201321. https:\/\/doi.org\/10.13828\/j.cnki.ckjs.2017.03.007","journal-title":"Min Technol"},{"issue":"4","key":"1230_CR29","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/BF01239496","volume":"6","author":"N Barton","year":"1974","unstructured":"Barton N, Lien R, Lunde J (1974) Engineering classification of rock masses for the design of tunnel support. Rock Mech 6(4):189\u2013236. https:\/\/doi.org\/10.1007\/BF01239496","journal-title":"Rock Mech"},{"issue":"2","key":"1230_CR30","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.jrmge.2018.11.006","volume":"11","author":"M Babaeian","year":"2019","unstructured":"Babaeian M, Ataei M, Sereshki F et al (2019) A new framework for evaluation of rock fragmentation in open pit mines. J Rock Mech Geotech Eng 11(2):325\u2013336. https:\/\/doi.org\/10.1016\/j.jrmge.2018.11.006","journal-title":"J Rock Mech Geotech Eng"},{"issue":"4","key":"1230_CR31","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.jsm.2019.08.003","volume":"18","author":"BK Singh","year":"2019","unstructured":"Singh BK, Mondal D, Shahid M et al (2019) Application of digital image analysis for monitoring the behavior of factors that control the rock fragmentation in opencast bench blasting: a case study conducted over four opencast coal mines of the Talcher Coalfields, India. J Sustain Min 18(4):247\u2013256. https:\/\/doi.org\/10.1016\/j.jsm.2019.08.003","journal-title":"J Sustain Min"},{"issue":"3","key":"1230_CR32","first-page":"8","volume":"31","author":"X Feng","year":"2011","unstructured":"Feng X, Li D, Wang L et al (2011) Analysis of influential factors for ore-rock fragmentation prediction. Min Metall Eng 31(3):8\u201312","journal-title":"Min Metall Eng"},{"issue":"2","key":"1230_CR33","first-page":"1","volume":"33","author":"Z Chen","year":"2013","unstructured":"Chen Z, Wang L, Feng X et al (2013) Application of 3D simulation of fragment size in block caving in a copper mine. Min Metall Eng 33(2):1\u20134","journal-title":"Min Metall Eng"},{"key":"1230_CR34","doi-asserted-by":"crossref","unstructured":"Hekmat A, Munoz S, Gomez R (2019) Prediction of rock fragmentation based on a modified Kuz-Ram model. In: Widzyk-Capehart E, Hekmat A, Singhal R (eds) Proceedings of the 27th international symposium on mine planning and equipment selection\u2014MPES 2018, Cham, 2019. Springer International Publishing, pp 69\u201379","DOI":"10.1007\/978-3-319-99220-4_6"},{"issue":"2","key":"1230_CR35","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/s40948-016-0048-9","volume":"3","author":"A Paluszny","year":"2017","unstructured":"Paluszny A, Zimmerman RW (2017) Modelling of primary fragmentation in block caving mines using a finite-element based fracture mechanics approach. Geomech Geophys Geoenergy Georesour 3(2):121\u2013130. https:\/\/doi.org\/10.1007\/s40948-016-0048-9","journal-title":"Geomech Geophys Geoenergy Georesour"},{"issue":"11","key":"1230_CR36","doi-asserted-by":"publisher","first-page":"3073","DOI":"10.1007\/s00603-017-1267-2","volume":"50","author":"R G\u00f3mez","year":"2017","unstructured":"G\u00f3mez R, Castro RL, Casali A et al (2017) A comminution model for secondary fragmentation assessment for block caving. Rock Mech Rock Eng 50(11):3073\u20133084. https:\/\/doi.org\/10.1007\/s00603-017-1267-2","journal-title":"Rock Mech Rock Eng"},{"key":"1230_CR37","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/j.ssci.2019.05.046","volume":"118","author":"J Zhou","year":"2019","unstructured":"Zhou J, Li E, Yang S et al (2019) Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories. Saf Sci 118:505\u2013518","journal-title":"Saf Sci"},{"key":"1230_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.undsp.2020.05.005","author":"C Li","year":"2020","unstructured":"Li C, Zhou J, Jahed Armaghani D et al (2020) Stability analysis of underground mine hard rock pillars via combination of finite difference methods, neural networks, and Monte Carlo simulation techniques. Undergr Space. https:\/\/doi.org\/10.1016\/j.undsp.2020.05.005","journal-title":"Undergr Space"},{"issue":"2","key":"1230_CR39","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1007\/s12517-012-0770-8","volume":"7","author":"M Monjezi","year":"2014","unstructured":"Monjezi M, Mohamadi HA, Barati B et al (2014) Application of soft computing in predicting rock fragmentation to reduce environmental blasting side effects. Arab J Geosci 7(2):505\u2013511","journal-title":"Arab J Geosci"},{"key":"1230_CR40","doi-asserted-by":"publisher","DOI":"10.1007\/s10064-020-01788-w","author":"J Zhou","year":"2020","unstructured":"Zhou J, Koopialipoor M, Li E et al (2020) Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system. Bull Eng Geol Environ. https:\/\/doi.org\/10.1007\/s10064-020-01788-w","journal-title":"Bull Eng Geol Environ"},{"key":"1230_CR41","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05197-8","author":"Q Fang","year":"2020","unstructured":"Fang Q, Nguyen H, Bui XN et al (2020) Modeling of rock fragmentation by firefly optimization algorithm and boosted generalized additive model. Neural Comput Appl.\u00a0https:\/\/doi.org\/10.1007\/s00521-020-05197-8","journal-title":"Neural Comput Appl"},{"key":"1230_CR42","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-019-00822-0","author":"J Zhou","year":"2019","unstructured":"Zhou J, Li C, Alparslan C et al (2019) Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting. Eng Comput. https:\/\/doi.org\/10.1007\/s00366-019-00822-0","journal-title":"Eng Comput"},{"issue":"9","key":"1230_CR43","doi-asserted-by":"publisher","first-page":"808","DOI":"10.1007\/s12665-016-5503-y","volume":"75","author":"M Hasanipanah","year":"2016","unstructured":"Hasanipanah M, Armaghani DJ, Monjezi M et al (2016) Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system. Environ Earth Sci 75(9):808","journal-title":"Environ Earth Sci"},{"issue":"1","key":"1230_CR44","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-020-66904-y","volume":"10","author":"XN Bui","year":"2020","unstructured":"Bui XN, Nguyen H, Choi Y et al (2020) Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm. Sci Rep 10(1):1\u201317","journal-title":"Sci Rep"},{"key":"1230_CR45","doi-asserted-by":"publisher","first-page":"632","DOI":"10.1016\/j.tust.2018.08.029","volume":"81","author":"J Zhou","year":"2018","unstructured":"Zhou J, Li X, Mitri HS (2018) Evaluation method of rockburst: state-of-the-art literature review. Tunn Undergr Space Technol 81:632\u2013659","journal-title":"Tunn Undergr Space Technol"},{"issue":"1","key":"1230_CR46","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1080\/17480930.2020.1734151","volume":"35","author":"J Zhou","year":"2021","unstructured":"Zhou J, Li C, Koopialipoor M et al (2021) Development of a new methodology for estimating the amount of PPV in surface mines based on prediction and probabilistic models (GEP-MC). Int J Min Reclamat Environ 35(1):48\u201368. https:\/\/doi.org\/10.1080\/17480930.2020.1734151","journal-title":"Int J Min Reclamat Environ"},{"key":"1230_CR47","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01014-x","author":"E Li","year":"2020","unstructured":"Li E, Zhou J, Shi X et al (2020) Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill. Eng Comput. https:\/\/doi.org\/10.1007\/s00366-020-01014-x","journal-title":"Eng Comput"},{"key":"1230_CR48","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-019-00868-0","author":"Z Yu","year":"2019","unstructured":"Yu Z, Shi X, Zhou J et al (2019) Feasibility of the indirect determination of blast-induced rock movement based on three new hybrid intelligent models. Eng Comput. https:\/\/doi.org\/10.1007\/s00366-019-00868-0","journal-title":"Eng Comput"},{"key":"1230_CR49","doi-asserted-by":"publisher","DOI":"10.12989\/gae.2020.22.5.397","author":"DJ Armaghani","year":"2020","unstructured":"Armaghani DJ, Mirzaei F, Shariati A et al (2020) Indirect measure of shear strength parameters of fiber-reinforced sandy soil using laboratory tests and intelligent systems. Geomech Eng. https:\/\/doi.org\/10.12989\/gae.2020.22.5.397","journal-title":"Geomech Eng"},{"key":"1230_CR50","doi-asserted-by":"publisher","DOI":"10.1101\/2020.04.16.20068445","author":"P Asteris","year":"2020","unstructured":"Asteris P, Douvika M, Karamani C et al (2020) A novel heuristic global algorithm to predict the COVID-19 pandemic trend. Comput Sci Eng. https:\/\/doi.org\/10.1101\/2020.04.16.20068445","journal-title":"Comput Sci Eng"},{"issue":"4","key":"1230_CR51","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10921-020-00725-x","volume":"39","author":"D Li","year":"2020","unstructured":"Li D, Armaghani DJ, Zhou J, Lai SH, Hasanipanah M (2020) A GMDH predictive model to predict rock material strength using three non-destructive tests. J Nondestr Eval 39(4):1\u201314","journal-title":"J Nondestr Eval"},{"issue":"4","key":"1230_CR52","doi-asserted-by":"publisher","first-page":"1486","DOI":"10.3390\/app10041486","volume":"10","author":"M Cai","year":"2020","unstructured":"Cai M, Koopialipoor M, Armaghani DJ et al (2020) Evaluating slope deformation of earth dams due to earthquake shaking using MARS and GMDH techniques. Appl Sci 10(4):1486. https:\/\/doi.org\/10.3390\/app10041486","journal-title":"Appl Sci"},{"key":"1230_CR53","doi-asserted-by":"publisher","first-page":"4121","DOI":"10.1007\/s11053-020-09697-1","volume":"29","author":"P Bayat","year":"2020","unstructured":"Bayat P, Monjezi M, Rezakhah M et al (2020) Artificial neural network and firefly algorithm for estimation and minimization of ground vibration induced by blasting in a mine. Nat Resour Res 29:4121\u20134132. https:\/\/doi.org\/10.1007\/s11053-020-09697-1","journal-title":"Nat Resour Res"},{"key":"1230_CR54","doi-asserted-by":"publisher","DOI":"10.3390\/ma13173902","author":"S Lu","year":"2020","unstructured":"Lu S, Koopialipoor M, Asteris PG et al (2020) A novel feature selection approach based on tree models for evaluating the punching shear capacity of steel fiber-reinforced concrete flat slabs. Materials. https:\/\/doi.org\/10.3390\/ma13173902","journal-title":"Materials"},{"key":"1230_CR55","doi-asserted-by":"publisher","DOI":"10.1016\/j.gsf.2020.09.020","author":"J Zhou","year":"2020","unstructured":"Zhou J, Qiu Y, Armaghani DJ, Zhang W, Li C, Zhu S, Tarinejad R (2020) Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques. Geoscience Frontiers. https:\/\/doi.org\/10.1016\/j.gsf.2020.09.020","journal-title":"Geoscience Frontiers"},{"key":"1230_CR56","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01136-2","author":"Z Yu","year":"2020","unstructured":"Yu Z, Shi X, Zhou J et al (2020) A new multikernel relevance vector machine based on the HPSOGWO algorithm for predicting and controlling blast-induced ground vibration. Eng Comput. https:\/\/doi.org\/10.1007\/s00366-020-01136-2","journal-title":"Eng Comput"},{"key":"1230_CR57","doi-asserted-by":"publisher","first-page":"104015","DOI":"10.1016\/j.engappai.2020.104015","volume":"97","author":"J Zhou","year":"2021","unstructured":"Zhou J, Qiu Y, Zhu S, Armaghani DJ, Li C, Nguyen H, Yagiz S\u00a0(2021) Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate. Eng Appl Artif Intell 97:104015","journal-title":"Eng Appl Artif Intell"},{"key":"1230_CR58","doi-asserted-by":"publisher","DOI":"10.1016\/j.undsp.2020.05.008","author":"J Zhou","year":"2020","unstructured":"Zhou J, Qiu Y, Zhu S, Armaghani DJ, Khandelwal M, Mohamad ET (2020) Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization. Undergr Space.\u00a0https:\/\/doi.org\/10.1016\/j.undsp.2020.05.008","journal-title":"Undergr Space"},{"key":"1230_CR59","doi-asserted-by":"publisher","DOI":"10.1016\/j.undsp.2019.12.003","author":"WG Zhang","year":"2020","unstructured":"Zhang WG, Li HR, Wu CZ, Li YQ, Liu ZQ, Liu HL (2020) Soft computing approach for prediction of surface settlement induced by earth pressure balance shield tunneling. Undergr Space.\u00a0https:\/\/doi.org\/10.1016\/j.undsp.2019.12.003","journal-title":"Undergr Space"},{"issue":"2","key":"1230_CR60","first-page":"323","volume":"27","author":"F Gong","year":"2008","unstructured":"Gong F, Li X, Dong L et al (2008) Underground goaf risk evaluation based on unascertained measurement theory. Chin J Rock Mech Eng 27(2):323\u2013330","journal-title":"Chin J Rock Mech Eng"},{"issue":"2","key":"1230_CR61","first-page":"62","volume":"31","author":"X Shi","year":"2009","unstructured":"Shi X, Zhou J (2009) Application of uncertainty average clustering measurement model to classification of tunnel surrounding rock. J Civ Archit Environ Eng 31(2):62\u201367","journal-title":"J Civ Archit Environ Eng"},{"issue":"4","key":"1230_CR62","doi-asserted-by":"publisher","first-page":"744","DOI":"10.1007\/s11771-010-0550-0","volume":"17","author":"A Liu","year":"2010","unstructured":"Liu A, Dong L, Dong L (2010) Optimization model of unascertained measurement for underground mining method selection and its application. J Cent S Univ Technol 17(4):744\u2013749","journal-title":"J Cent S Univ Technol"},{"key":"1230_CR63","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/3547384","author":"K Zhao","year":"2019","unstructured":"Zhao K, Wang Q, Yan Y, et al (2019) Geological structural surface evaluation model based on unascertained measure. Geofluids. https:\/\/doi.org\/10.1155\/2019\/3547384","journal-title":"Geofluids"},{"issue":"4","key":"1230_CR64","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.16285\/j.rsm.2011.04.015","volume":"32","author":"H Tang","year":"2011","unstructured":"Tang H, Wan W, Liu J (2011) Evaluation of underground cavern rock quality based on uncertainty measure theory. Rock Soil Mech 32(4):1181\u20131185.\u00a0https:\/\/doi.org\/10.16285\/j.rsm.2011.04.015","journal-title":"Rock Soil Mech"},{"issue":"4","key":"1230_CR65","doi-asserted-by":"publisher","first-page":"20","DOI":"10.3963\/j.issn.1001-487X.2013.04.005","volume":"30","author":"G Zhao","year":"2013","unstructured":"Zhao G, Yu P, Zhou L (2013) Classification of rock mass blastability based on unascertained measurement theory. Blasting 30(4):20\u201324. https:\/\/doi.org\/10.3963\/j.issn.1001-487X.2013.04.005","journal-title":"Blasting"},{"issue":"1","key":"1230_CR66","first-page":"2721","volume":"29","author":"X Shi","year":"2010","unstructured":"Shi X, Zhou J, Dong L et al (2010) Application of unascertained measurement model to prediction of classification of rockburst intensity. Chin J Rock Mech Eng 29(S1):2721\u20132727","journal-title":"Chin J Rock Mech Eng"},{"issue":"7","key":"1230_CR67","doi-asserted-by":"publisher","first-page":"1953","DOI":"10.1007\/s11771-012-1231-y","volume":"19","author":"J Zhou","year":"2012","unstructured":"Zhou J, Li X (2012) Integrating unascertained measurement and information entropy theory to assess blastability of rock mass. J Cent S Univ 19(7):1953\u20131960","journal-title":"J Cent S Univ"},{"key":"1230_CR68","unstructured":"Song Y (2012) Risk evaluation on geological hazards under construction of Huangdao underground water-sealed oil storage caverns. Master, China University of Geosciences for master degree (Beijing)"},{"key":"1230_CR69","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0186893","author":"Y Li","year":"2017","unstructured":"Li Y, Yang J, Shi H et al (2017) Assessment of sustainable urban transport development based on entropy and unascertained measure. PLoS ONE. https:\/\/doi.org\/10.1371\/journal.pone.0186893","journal-title":"PLoS ONE"},{"issue":"1","key":"1230_CR70","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1177\/0144598718797099","volume":"37","author":"J Fang","year":"2019","unstructured":"Fang J, He H, An L et al (2019) The evaluation of potential for the exploration and development of coalbed methane resources based on an improved uncertainty measure optimization model. Energy Explor Exploit 37(1):315\u2013331","journal-title":"Energy Explor Exploit"},{"issue":"2","key":"1230_CR71","doi-asserted-by":"publisher","first-page":"707","DOI":"10.1007\/s10706-018-0642-4","volume":"37","author":"C Huang","year":"2019","unstructured":"Huang C, Li Q, Wu S et al (2019) Subgrade stability evaluation in permafrost regions based on unascertained measurement model. Geotech Geol Eng 37(2):707\u2013719","journal-title":"Geotech Geol Eng"},{"key":"1230_CR72","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01053-4","author":"J Zhou","year":"2020","unstructured":"Zhou J, Chen C, Armaghani D et al (2020) Developing a hybrid model of information entropy and unascertained measurement theory for evaluation of the excavatability in rock mass. Eng Comput. https:\/\/doi.org\/10.1007\/s00366-020-01053-4","journal-title":"Eng Comput"},{"key":"1230_CR73","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-020-01151-3","author":"J Zhou","year":"2020","unstructured":"Zhou J, Chen C, Du K et al (2020) A new hybrid model of information entropy and unascertained measurement with different membership functions for evaluating destressability in burst-prone underground mines. Eng Comput. https:\/\/doi.org\/10.1007\/s00366-020-01151-3","journal-title":"Eng Comput"},{"issue":"4","key":"1230_CR74","first-page":"1","volume":"23","author":"G Wang","year":"1990","unstructured":"Wang G (1990) Unascertained information and its mathmatical treatment. J Harbin Inst Civ Eng 23(4):1\u20138","journal-title":"J Harbin Inst Civ Eng"},{"issue":"9","key":"1230_CR75","first-page":"1","volume":"17","author":"Q Cheng","year":"1997","unstructured":"Cheng Q (1997) Attribute sets and attribute synthetic assessment system. Syst Eng Theory Pract\u00a017(9):1\u20138","journal-title":"Syst Eng Theory Pract"},{"issue":"1","key":"1230_CR76","doi-asserted-by":"publisher","first-page":"13","DOI":"10.13209\/j.0479-8023.1997.002","volume":"33","author":"Q Cheng","year":"1997","unstructured":"Cheng Q (1997) Attribute recognition theoretical model with application. J Peking Univ (Nat Sci Ed) 33(1):13\u201319. https:\/\/doi.org\/10.13209\/j.0479-8023.1997.002","journal-title":"J Peking Univ (Nat Sci Ed)"},{"issue":"4","key":"1230_CR77","doi-asserted-by":"publisher","first-page":"1165","DOI":"10.1007\/s10064-014-0656-y","volume":"73","author":"L Li","year":"2014","unstructured":"Li L, Tang CA, Zhao X et al (2014) Block caving-induced strata movement and associated surface subsidence: a numerical study based on a demonstration model. Bull Eng Geol Environ 73(4):1165\u20131182","journal-title":"Bull Eng Geol Environ"},{"key":"1230_CR78","first-page":"1","volume-title":"Underground mining method","author":"RE Ltd","year":"2003","unstructured":"Ltd RE (2003) Underground mining method. Ulf Linder, Sweden, pp 1\u2013120"},{"issue":"11","key":"1230_CR79","doi-asserted-by":"publisher","first-page":"4403","DOI":"10.1007\/s00603-019-01848-y","volume":"52","author":"A Azadmehr","year":"2019","unstructured":"Azadmehr A, Jalali SME, Pourrahimian Y (2019) An application of rock engineering system for assessment of the rock mass fragmentation: a hybrid approach and case study. Rock Mech Rock Eng 52(11):4403\u20134419","journal-title":"Rock Mech Rock Eng"},{"issue":"3","key":"1230_CR80","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.1007\/s00603-014-0614-9","volume":"48","author":"R Rafiee","year":"2015","unstructured":"Rafiee R, Ataei M, Khalokakaie R et al (2015) Determination and assessment of parameters influencing rock mass cavability in block caving mines using the probabilistic rock engineering system. Rock Mech Rock Eng 48(3):1207\u20131220","journal-title":"Rock Mech Rock Eng"},{"issue":"4","key":"1230_CR81","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/S0886-7798(02)00106-2","volume":"18","author":"H Stille","year":"2003","unstructured":"Stille H, Palmstrom A (2003) Classification as a tool in rock engineering. Tunn Undergr Space Technol 18(4):331\u2013345","journal-title":"Tunn Undergr Space Technol"},{"issue":"4","key":"1230_CR82","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40948-020-00183-9","volume":"6","author":"S Wang","year":"2020","unstructured":"Wang S, Liu Y, Du K, Zhou J, Khandelwal M (2020) Waveform features and failure patterns of hollow cylindrical sandstone specimens under repetitive impact and triaxial confinements. Geomech Geophys Geo-Energy Geo-Res 6(4):1\u20138.\u00a0https:\/\/doi.org\/10.1007\/s40948-020-00183-9","journal-title":"Geomech Geophys Geo-Energy Geo-Res"},{"key":"1230_CR83","doi-asserted-by":"publisher","first-page":"565","DOI":"10.1016\/j.ijrmms.2006.09.010","volume":"44","author":"A Brzovic","year":"2007","unstructured":"Brzovic A, Villaescusaa E (2007) Rock mass characterization and assessment of block-forming geological discontinuities during caving of promary copper ore at the El Teniente mine, Chile. Int J Rock Mech Min Sci 44:565\u2013583. https:\/\/doi.org\/10.1016\/j.ijrmms.2006.09.010","journal-title":"Int J Rock Mech Min Sci"},{"key":"1230_CR84","unstructured":"Andrew W, Chris B, Gordon S (2012) Technical report for the kemess. Independent technical report for the Kemess Underground Project. SRK Consulting (Canada) Inc, Canada"}],"container-title":["Engineering with Computers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00366-020-01230-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00366-020-01230-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00366-020-01230-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,3]],"date-time":"2022-12-03T07:11:03Z","timestamp":1670051463000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00366-020-01230-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,4]]},"references-count":84,"journal-issue":{"issue":"S5","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["1230"],"URL":"https:\/\/doi.org\/10.1007\/s00366-020-01230-5","relation":{},"ISSN":["0177-0667","1435-5663"],"issn-type":[{"value":"0177-0667","type":"print"},{"value":"1435-5663","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,4]]},"assertion":[{"value":"8 September 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 November 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}