{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:25:45Z","timestamp":1740122745142,"version":"3.37.3"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2016,11,24]],"date-time":"2016-11-24T00:00:00Z","timestamp":1479945600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61673112","60934008"],"award-info":[{"award-number":["61673112","60934008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities of China","doi-asserted-by":"crossref","award":["2242014K10031"],"award-info":[{"award-number":["2242014K10031"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012246","name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100012246","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Natural Science Foundation of the Higher Education Institution of Jiangsu Province","award":["16KJD460005"],"award-info":[{"award-number":["16KJD460005"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2019,2]]},"DOI":"10.1007\/s10845-016-1283-1","type":"journal-article","created":{"date-parts":[[2016,11,24]],"date-time":"2016-11-24T15:22:19Z","timestamp":1480000939000},"page":"771-782","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Matching decision method for knowledgeable manufacturing system and its production environment"],"prefix":"10.1007","volume":"30","author":[{"given":"Hong-Sen","family":"Yan","sequence":"first","affiliation":[]},{"given":"Yu-Fang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,11,24]]},"reference":[{"issue":"21","key":"1283_CR1","doi-asserted-by":"publisher","first-page":"3048","DOI":"10.1016\/j.fss.2009.04.003","volume":"160","author":"AI Ban","year":"2009","unstructured":"Ban, A. I. (2009). Triangular and parametric approximations of fuzzy numbers: Inadvertences and corrections. Fuzzy Sets and Systems, 160(21), 3048\u20133058.","journal-title":"Fuzzy Sets and Systems"},{"key":"1283_CR2","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.mechmachtheory.2013.10.006","volume":"73","author":"DJ Bordoloi","year":"2014","unstructured":"Bordoloi, D. J., & Tiwari, R. (2014). Optimum multi-fault classification of gears with integration of evolutionary and SVM algorithms. Mechanism and Machine Theory, 73, 49\u201360.","journal-title":"Mechanism and Machine Theory"},{"key":"1283_CR3","doi-asserted-by":"publisher","first-page":"283","DOI":"10.1016\/j.engappai.2014.02.008","volume":"32","author":"G Bosque","year":"2014","unstructured":"Bosque, G., Del Campo, I., & Echanobe, J. (2014). Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades. Engineering Applications of Artificial Intelligence, 32, 283\u2013331.","journal-title":"Engineering Applications of Artificial Intelligence"},{"issue":"3","key":"1283_CR4","doi-asserted-by":"publisher","first-page":"797","DOI":"10.1007\/s10845-010-0436-x","volume":"23","author":"D Brezak","year":"2012","unstructured":"Brezak, D., Majetic, D., Udiljak, T., & Kasac, J. (2012). Tool wear estimation using an analytic fuzzy classifier and support vector machines. Journal of Intelligent Manufacturing, 23(3), 797\u2013809.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"3","key":"1283_CR5","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1007\/s10845-010-0415-2","volume":"23","author":"U Caydas","year":"2012","unstructured":"Caydas, U., & Ekici, S. (2012). Support vector machines models for surface roughness prediction in CNC turning of AISI 304 austenitic stainless steel. Journal of Intelligent Manufacturing, 23(3), 639\u2013650.","journal-title":"Journal of Intelligent Manufacturing"},{"key":"1283_CR6","doi-asserted-by":"crossref","unstructured":"Chen, Y. J., Fan, C. Y., & Chang K. H. (2016). Manufacturing intelligence for reducing false alarm of defect classification by integrating similarity matching approach in CMOS image sensor manufacturing. Computers and Industrial Engineering, 99, 465\u2013473.","DOI":"10.1016\/j.cie.2016.05.009"},{"issue":"1","key":"1283_CR7","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M Clerc","year":"2002","unstructured":"Clerc, M., & Kennedy, J. (2002). The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation, 6(1), 58\u201373.","journal-title":"IEEE Transactions on Evolutionary Computation"},{"issue":"3","key":"1283_CR8","first-page":"273","volume":"20","author":"C Cortes","year":"1995","unstructured":"Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273\u2013297.","journal-title":"Machine Learning"},{"issue":"2","key":"1283_CR9","doi-asserted-by":"publisher","first-page":"701","DOI":"10.1016\/j.ijpe.2011.02.019","volume":"131","author":"S Deng","year":"2011","unstructured":"Deng, S., & Yeh, T. H. (2011). Using least squares support vector machines for the airframe structures manufacturing cost estimation. International Journal of Production Economics, 131(2), 701\u2013708.","journal-title":"International Journal of Production Economics"},{"key":"1283_CR10","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.cirp.2007.05.042","volume":"56","author":"B Denkena","year":"2007","unstructured":"Denkena, B., Shpitalni, M., Kowalski, P., Molcho, G., & Zipori, Y. (2007). Knowledge management in process planning. CIRP Annals-Manufacturing Technology, 56, 175\u2013180.","journal-title":"CIRP Annals-Manufacturing Technology"},{"key":"1283_CR11","doi-asserted-by":"crossref","unstructured":"Eberhart, R. C., & Shi, Y. (2001). Particle swarm optimization developments, applications and resources. In Proceedings of the 2001 congress on evolutionary computation (pp. 81\u201386).","DOI":"10.1109\/CEC.2001.934374"},{"key":"1283_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.cirpj.2014.10.006","volume":"8","author":"K Efthymiou","year":"2015","unstructured":"Efthymiou, K., Sipsas, K., Mourtzis, D., & Chryssolouris, G. (2015). On knowledge reuse for manufacturing systems design and planning: A semantic technology approach. CIRP Journal of Manufacturing Science and Technology, 8, 1\u201311.","journal-title":"CIRP Journal of Manufacturing Science and Technology"},{"issue":"12","key":"1283_CR13","doi-asserted-by":"publisher","first-page":"15202","DOI":"10.1016\/j.eswa.2011.05.081","volume":"38","author":"M Elangovan","year":"2011","unstructured":"Elangovan, M., Sugumaran, V., Ramachandran, K. I., & Ravikumar, S. (2011). Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool. Expert Systems with Applications, 38(12), 15202\u201315207.","journal-title":"Expert Systems with Applications"},{"key":"1283_CR14","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.neucom.2016.02.006","volume":"193","author":"CX Jian","year":"2016","unstructured":"Jian, C. X., Gao, J., & Ao, Y. H. (2016). A new sampling method for classifying imbalanced data based on support vector machine ensemble. Neurocomputing, 193, 115\u2013122.","journal-title":"Neurocomputing"},{"issue":"4","key":"1283_CR15","doi-asserted-by":"publisher","first-page":"3495","DOI":"10.1016\/j.eswa.2009.10.038","volume":"37","author":"A Ji","year":"2010","unstructured":"Ji, A., Pang, J., & Qiu, H. (2010). Support vector machine for classification based on fuzzy training data. Expert Systems with Applications, 37(4), 3495\u20133498.","journal-title":"Expert Systems with Applications"},{"key":"1283_CR16","unstructured":"Karush, W. (1939). Minima of functions of several variables with inequalities as side constriants. Master\u2019s thesis, University of Chicago, Chicago."},{"key":"1283_CR17","doi-asserted-by":"crossref","unstructured":"Kennedy, J., & Eberhart, R. C. (1995). Particle swarm optimization. In Proceedings of IEEE international conference on neural network (pp. 1942\u20131948).","DOI":"10.1109\/ICNN.1995.488968"},{"key":"1283_CR18","doi-asserted-by":"crossref","unstructured":"Kuhn, H. W., & Tucker, A. W. (1951). Nonlinear programming. In Proceedings of the second Berkeley symposium on mathematical statistics and probabilistics (pp. 481\u2013492).","DOI":"10.1525\/9780520411586-036"},{"issue":"1","key":"1283_CR19","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.renene.2010.05.014","volume":"36","author":"A Kusiak","year":"2011","unstructured":"Kusiak, A., & Li, W. (2011). The prediction and diagnosis of wind turbine faults. Renewable Energy, 36(1), 16\u201323.","journal-title":"Renewable Energy"},{"issue":"12","key":"1283_CR20","doi-asserted-by":"publisher","first-page":"7092","DOI":"10.1109\/TIE.2014.2316228","volume":"61","author":"J Lee","year":"2014","unstructured":"Lee, J., & Lee, K. (2014). An open-switch fault detection method and tolerance controls based on SVM in a grid-connected t-type rectifier with unity power factor. IEEE Transactions on Industrial Electronics, 61(12), 7092\u20137104.","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"1283_CR21","unstructured":"Li, X. L., Zhang, L., Liu, B., & Ng, S. K. (2010). Distributional similarity vs. PU learning for entity set expansion. In Proceedings of the 48th annual meeting of the association for computational linguistics (pp. 359\u2013364)."},{"key":"1283_CR22","doi-asserted-by":"crossref","unstructured":"Li, X. L., & Liu, B. (2005). Learning from positive and unlabeled examples with different data distributions. In Proceedings of European conference on machine learning (pp. 218\u2013229).","DOI":"10.1007\/11564096_24"},{"issue":"3","key":"1283_CR23","doi-asserted-by":"publisher","first-page":"692","DOI":"10.1109\/TASE.2013.2277603","volume":"11","author":"CS Liao","year":"2014","unstructured":"Liao, C. S., Hsieh, T. J., Huang, Y. S., & Chien, C. F. (2014). Similarity searching for defective wafer bin maps in semiconductor manufacturing. IEEE Transactions on Automation Science and Engineering, 11(3), 692\u2013705.","journal-title":"IEEE Transactions on Automation Science and Engineering"},{"issue":"3","key":"1283_CR24","doi-asserted-by":"publisher","first-page":"835","DOI":"10.1007\/s10845-010-0440-1","volume":"23","author":"DC Li","year":"2012","unstructured":"Li, D. C., Chen, W. C., Liu, C. W., & Lin, Y. S. (2012a). A non-linear quality improvement model using SVR for manufacturing TFT-LCDs. Journal of Intelligent Manufacturing, 23(3), 835\u2013844.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"3","key":"1283_CR25","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1007\/s10845-010-0442-z","volume":"23","author":"DC Li","year":"2012","unstructured":"Li, D. C., Fang, Y. H., Liu, C. W., & Juang, C. (2012b). Using past manufacturing experience to assist building the yield forecast model for new manufacturing processes. Journal of Intelligent Manufacturing, 23(3), 857\u2013868.","journal-title":"Journal of Intelligent Manufacturing"},{"issue":"8","key":"1283_CR26","first-page":"28","volume":"7","author":"G Li","year":"2008","unstructured":"Li, G., & He, C. Z. (2008). Research on the customer satisfaction index of mobile communications based on fuzzy weighted support machine. Chinese Economy and Management Science, 7(8), 28\u201330. (in Chinese).","journal-title":"Chinese Economy and Management Science"},{"issue":"4","key":"1283_CR27","doi-asserted-by":"publisher","first-page":"299","DOI":"10.1080\/09511920802014920","volume":"22","author":"L Li","year":"2009","unstructured":"Li, L., & Huang, G. Q. (2009). Multi objective evolutionary optimisation for adaptive product family design. International Journal of Computer Integrated Manufacturing, 22(4), 299\u2013314.","journal-title":"International Journal of Computer Integrated Manufacturing"},{"issue":"3","key":"1283_CR28","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1016\/j.patcog.2006.07.005","volume":"40","author":"Q Li","year":"2007","unstructured":"Li, Q., Jiao, L. C., & Hao, Y. J. (2007). Adaptive simplification of solution for support vector machines. Pattern Recognition, 40(3), 972\u2013980.","journal-title":"Pattern Recognition"},{"issue":"8","key":"1283_CR29","doi-asserted-by":"publisher","first-page":"2947","DOI":"10.1007\/s12206-014-0701-6","volume":"28","author":"GM Lim","year":"2014","unstructured":"Lim, G. M., Bae, D. M., & Kim, J. H. (2014). Fault diagnosis of rotating machine by thermography method on support vector machine. Journal of Mechanical Science and Technology, 28(8), 2947\u20132952.","journal-title":"Journal of Mechanical Science and Technology"},{"issue":"2","key":"1283_CR30","doi-asserted-by":"publisher","first-page":"464","DOI":"10.1109\/72.991432","volume":"13","author":"CF Lin","year":"2002","unstructured":"Lin, C. F., & Wang, S. D. (2002). Fuzzy support vector machines. IEEE Transactions on Neural Networks, 13(2), 464\u2013471.","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"1\u20134","key":"1283_CR31","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/S0020-0255(98)10015-4","volume":"112","author":"BD Liu","year":"1998","unstructured":"Liu, B. D. (1998). Minimax chance constrained programming models for fuzzy decision systems. Information Sciences, 112(1\u20134), 25\u201338.","journal-title":"Information Sciences"},{"issue":"4","key":"1283_CR32","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1016\/j.ipm.2010.11.007","volume":"47","author":"Y Liu","year":"2011","unstructured":"Liu, Y., Yu, X. H., Hang, J. X., & An, A. J. (2011). Combining integrated sampling with SVM ensembles for learning from imbalanced datasets. Information Processing and Management, 47(4), 617\u2013631.","journal-title":"Information Processing and Management"},{"key":"1283_CR33","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1016\/j.asoc.2014.05.010","volume":"23","author":"F Pan","year":"2014","unstructured":"Pan, F., Zhang, Q., Liu, J., Li, W., & Gao, Q. (2014). Consensus analysis for a class of stochastic PSO algorithm. Applied Soft Computing, 23, 567\u2013578.","journal-title":"Applied Soft Computing"},{"key":"1283_CR34","doi-asserted-by":"crossref","unstructured":"Pintzos, G., Rentzos, L., Efthymiou, K., Papakostas, N., & Chryssolouris, G. (2013). A knowledge based collaborative platform for the design and deployment of manufacturing systems. In Proceedings of international conference on product lifecycle management (pp. 6\u201310).","DOI":"10.1007\/978-3-642-41501-2_27"},{"issue":"1","key":"1283_CR35","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1016\/j.cie.2007.12.007","volume":"55","author":"MD Shieh","year":"2008","unstructured":"Shieh, M. D., & Yang, C. C. (2008). Classification model for product form design using fuzzy support vector machines. Computers and Industrial Engineering, 55(1), 150\u2013164.","journal-title":"Computers and Industrial Engineering"},{"issue":"1","key":"1283_CR36","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/j.dss.2009.07.011","volume":"48","author":"A Sun","year":"2009","unstructured":"Sun, A., Lim, E. P., & Liu, Y. (2009). On strategies for imbalanced text classification using SVM: A comparative study. Decision Support Systems, 48(1), 191\u2013201.","journal-title":"Decision Support Systems"},{"issue":"3\u20134","key":"1283_CR37","first-page":"244","volume":"212","author":"SW Trevor","year":"2008","unstructured":"Trevor, S. W., Brenda, C. D., Mark, S. B., & Kershaw, G. P. (2008). Three way k-fold cross-validation of resource selection functions. Ecological Modelling, 212(3\u20134), 244\u2013255.","journal-title":"Ecological Modelling"},{"key":"1283_CR38","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"VN Vapnik","year":"1995","unstructured":"Vapnik, V. N. (1995). The nature of statistical learning theory. New York: Springer."},{"key":"1283_CR39","volume-title":"Statistical learning theory","author":"V Vapnik","year":"1998","unstructured":"Vapnik, V. (1998). Statistical learning theory. New York: Wiley."},{"key":"1283_CR40","doi-asserted-by":"crossref","unstructured":"Wang, Y. F., Yan, H. S., & Meng, X. G. (2011). Matching decision model for self- adaptability of knowledge manufacturing system. In 2011 International conference on information science and technology (pp. 891\u2013895).","DOI":"10.1109\/ICIST.2011.5765119"},{"issue":"1","key":"1283_CR41","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.ins.2010.02.014","volume":"192","author":"S Wang","year":"2012","unstructured":"Wang, S., & Watada, J. (2012). A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy random uncertainty. Information Sciences, 192(1), 3\u201318.","journal-title":"Information Sciences"},{"key":"1283_CR42","unstructured":"Weston, J., & Watkins, C. (1999). Multi-class support vector machines. In Proceedings of ESANN (pp. 219\u2013224)."},{"key":"1283_CR43","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.fss.2013.05.007","volume":"237","author":"GD Wu","year":"2014","unstructured":"Wu, G. D., & Zhu, Z. W. (2014). An enhanced discriminability recurrent fuzzy neural network for temporal classification problems. Fuzzy Sets and Systems, 237, 47\u201362.","journal-title":"Fuzzy Sets and Systems"},{"key":"1283_CR44","unstructured":"Xin, T. (2010). Study on flexible quantity contract based on production flexibility. Master\u2019s thesis, Shanghai Jiao Tong University, Shanghai. (in Chinese)."},{"issue":"1","key":"1283_CR45","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1109\/TKDE.2006.2","volume":"18","author":"HS Yan","year":"2006","unstructured":"Yan, H. S. (2006). A new complicated-knowledge representation approach based on knowledge meshes. IEEE Transactions on Knowledge and Data Engineering, 18(1), 47\u201362.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"1283_CR46","volume-title":"Uncertainty support vector machines","author":"ZM Yang","year":"2012","unstructured":"Yang, Z. M., & Liu, G. L. (2012). Uncertainty support vector machines. Beijing: Science Press. (in Chinese) ."},{"issue":"8","key":"1283_CR47","first-page":"7","volume":"7","author":"HS Yan","year":"2001","unstructured":"Yan, H. S., & Liu, F. (2001). Knowledgeable manufacturing system: A new kind of advanced manufacturing system. Computer Integrated Manufacturing Systems, 7(8), 7\u201311. (in Chinese) .","journal-title":"Computer Integrated Manufacturing Systems"},{"key":"1283_CR48","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1016\/j.ins.2012.03.022","volume":"209","author":"H Yu","year":"2012","unstructured":"Yu, H., Kim, J., Kim, Y., Hwang, S., & Lee, Y. (2012). An efficient method for learning nonlinear ranking SVM functions. Information Sciences, 209, 37\u201348.","journal-title":"Information Sciences"},{"issue":"6","key":"1283_CR49","doi-asserted-by":"publisher","first-page":"831","DOI":"10.1007\/s10845-009-0259-9","volume":"21","author":"Y Zhang","year":"2010","unstructured":"Zhang, Y., Huang, G. Q., Ngai, B. K. K., & Chen, X. (2010). Case-based polishing process planning with Fuzzy Set Theory. Journal of Intelligent Manufacturing, 21(6), 831\u2013842.","journal-title":"Journal of Intelligent Manufacturing"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10845-016-1283-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-016-1283-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-016-1283-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T20:02:44Z","timestamp":1718913764000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10845-016-1283-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,11,24]]},"references-count":49,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2019,2]]}},"alternative-id":["1283"],"URL":"https:\/\/doi.org\/10.1007\/s10845-016-1283-1","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"type":"print","value":"0956-5515"},{"type":"electronic","value":"1572-8145"}],"subject":[],"published":{"date-parts":[[2016,11,24]]},"assertion":[{"value":"17 March 2015","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 November 2016","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 November 2016","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}