{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T17:25:45Z","timestamp":1743096345662,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031838781"},{"type":"electronic","value":"9783031838798"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-83879-8_2","type":"book-chapter","created":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T07:38:05Z","timestamp":1741333085000},"page":"16-27","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Decision Support System Based on Grey Systems and Markov Chain MCGM (1,1) Applied to Improve Forecast for Demand Uncertainty"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2662-0609","authenticated-orcid":false,"given":"Francisco","family":"Trejo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8368-3948","authenticated-orcid":false,"given":"Rafael Torres","family":"Escobar","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9183-6086","authenticated-orcid":false,"given":"Alberto","family":"Ochoa-Zezzatti","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,3,8]]},"reference":[{"key":"2_CR1","unstructured":"Surowiecki, J.: The wisdowm of crowds, Anchor books (2005)"},{"issue":"3","key":"2_CR2","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1007\/s10009-023-00704-3","volume":"25","author":"T Badings","year":"2023","unstructured":"Badings, T., Sim\u00e3o, T.D., Suilen, M., Jansen, N.: Decision-making under uncertainty: beyond probabilities: challenges and perspectives. Int. J. Softw. Tools Technol. Transfer 25(3), 375\u2013391 (2023)","journal-title":"Int. J. Softw. Tools Technol. Transfer"},{"issue":"4","key":"2_CR3","doi-asserted-by":"publisher","first-page":"1518","DOI":"10.1016\/j.ijforecast.2022.11.005","volume":"39","author":"X Wang","year":"2023","unstructured":"Wang, X., Hyndman, R.J., Li, F., Kang, Y.: Forecast combinations: an over 50-year review. Int. J. Forecast. 39(4), 1518\u20131547 (2023)","journal-title":"Int. J. Forecast."},{"issue":"1","key":"2_CR4","first-page":"100","volume":"31","author":"R Mierzwiak","year":"2019","unstructured":"Mierzwiak, R., Xie, N., Dong, W.: Classification of research problems in grey system theory based on grey space concept. J. Grey Syst. 31(1), 100\u2013111 (2019)","journal-title":"J. Grey Syst."},{"issue":"2","key":"2_CR5","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1108\/03684920410514139","volume":"33","author":"Y Lin","year":"2004","unstructured":"Lin, Y., Chen, M.-Y., Liu, S.: Theory of grey systems: capturing uncertainties of grey information. Kybernetes 33(2), 196\u2013218 (2004)","journal-title":"Kybernetes"},{"key":"2_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2013\/658630","volume":"2013","author":"L-C Lin","year":"2013","unstructured":"Lin, L.-C., Wu, S.-Y.: Analyzing Taiwan IC assembly industry by grey-markov forecasting model. Math. Probl. Eng, 2013, 1\u20136 (2013). https:\/\/doi.org\/10.1155\/2013\/658630","journal-title":"Math. Probl. Eng,"},{"key":"2_CR7","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1007\/11579427_58","volume-title":"MICAI 2005: Advances in Artificial Intelligence","author":"Y He","year":"2005","unstructured":"He, Y., Huang, M.: A grey-markov forecasting model for the electric power requirement in China. In: Gelbukh, A., de Albornoz, \u00c1., Terashima-Mar\u00edn, H. (eds.) MICAI 2005: Advances in Artificial Intelligence, pp. 574\u2013582. Springer Berlin Heidelberg, Berlin, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11579427_58"},{"key":"2_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1155\/2018\/3894723","volume":"2018","author":"J Mi","year":"2018","unstructured":"Mi, J., Fan, L., Duan, X., Qiu, Y.: Short-term power load forecasting method based on improved exponential smoothing grey model. Math. Probl. Eng. 2018, 1\u201311 (2018). https:\/\/doi.org\/10.1155\/2018\/3894723","journal-title":"Math. Probl. Eng."},{"key":"2_CR9","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1016\/j.proeng.2011.04.663","volume":"11","author":"M Zhan-li","year":"2011","unstructured":"Zhan-li, M., Jin-hua, S.: Application of grey-markov model in forecasting fire accidents. Procedia Eng. 11, 314\u2013318 (2011)","journal-title":"Procedia Eng."},{"key":"2_CR10","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1007\/s11769-007-0064-3","volume":"17","author":"X Li","year":"2007","unstructured":"Li, X., Wang, X., Shao, W., et al.: Forecast of flood in Chaohu lake basin of China based on grey-Markov theory. Chin. Geograph. Sci. 17, 64\u201368 (2007)","journal-title":"Chin. Geograph. Sci."},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Li, H., et al.: Water demand prediction of grey markov model based on GM(1\uff0c1). In: 3rd International Conference on Mechatronics and Information Technology, p. 6 (2016)","DOI":"10.2991\/icmit-16.2016.95"},{"key":"2_CR12","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1007\/s11135-010-9403-z","volume":"45","author":"LH Chen","year":"2011","unstructured":"Chen, L.H., Guo, T.Y.: Forecasting financial crises for an enterprise by using the Grey Markov forecasting model. Qual. Quant. 45, 911\u2013922 (2011)","journal-title":"Qual. Quant."},{"issue":"7","key":"2_CR13","doi-asserted-by":"publisher","first-page":"1228","DOI":"10.3390\/su9071228","volume":"9","author":"Y-C Hu","year":"2017","unstructured":"Hu, Y.-C.: Predicting foreign tourists for the tourism industry using soft computing-based Grey\u2013Markov models. Sustainability 9(7), 1228 (2017)","journal-title":"Sustainability"},{"key":"2_CR14","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511613586","volume-title":"Finite Markov Chains and Algorithmic Applications","author":"O Haggstrom","year":"2002","unstructured":"Haggstrom, O.: Finite Markov Chains and Algorithmic Applications. Cambridge University Press, Melbourne (2002)"},{"key":"2_CR15","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.eswa.2023.121194","volume":"235","author":"Y Xu","year":"2024","unstructured":"Xu, Y., Lin, T., Du, P.: A hybrid coal prediction model based on grey Markov optimized by GWO \u2013 A case study of Hebei province in China. Expert Syst. Appl. 235, 1\u201316 (2024)","journal-title":"Expert Syst. Appl."},{"issue":"366","key":"2_CR16","doi-asserted-by":"publisher","first-page":"427","DOI":"10.2307\/2286348","volume":"74","author":"DA Dickey","year":"1979","unstructured":"Dickey, D.A., Fuller, W.A.: Distributions of the estimators for autoregressive time series with a unit root. J. Am. Stat. Assoc. 74(366), 427\u2013431 (1979)","journal-title":"J. Am. Stat. Assoc."},{"issue":"4","key":"2_CR17","first-page":"1","volume":"32","author":"H Shu","year":"2020","unstructured":"Shu, H., Xiong, P., Chen, S.: A Novel EGM(1,1) model based on kernel and degree of greyness and its application on smog prediction. J. Grey Syst. 32(4), 1\u201315 (2020)","journal-title":"J. Grey Syst."},{"key":"2_CR18","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.knosys.2011.07.009","volume":"26","author":"Z Zhang","year":"2012","unstructured":"Zhang, Z., Guo, C.: A method for multi-granularity uncertain linguistic group decision making with incomplete weight information. Knowl.-Based Syst. 26, 111\u2013119 (2012)","journal-title":"Knowl.-Based Syst."},{"issue":"2","key":"2_CR19","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1007\/s10044-014-0397-3","volume":"19","author":"SD Xian","year":"2016","unstructured":"Xian, S.D., Sun, W.J., Xu, S.H., Gao, Y.Y.: Fuzzy linguistic induced OWA Minkowski distance operator and its application in group decision making. Pattern Anal. Appl. 19(2), 325\u2013335 (2016)","journal-title":"Pattern Anal. Appl."},{"issue":"3","key":"2_CR20","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1108\/GS-09-2015-0050","volume":"6","author":"ZZ Ma","year":"2016","unstructured":"Ma, Z.Z., Zhu, J.: An uncertain pure linguistic approach on evaluation of enterprise integrity based on grey information. Grey Syst.: Theory Appl. 6(3), 353\u2013364 (2016). https:\/\/doi.org\/10.1108\/GS-09-2015-0050","journal-title":"Grey Syst.: Theory Appl."}],"container-title":["Lecture Notes in Computer Science","Advances in Computational Intelligence. MICAI 2024 International Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-83879-8_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T07:38:12Z","timestamp":1741333092000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-83879-8_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031838781","9783031838798"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-83879-8_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"8 March 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexican International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tonantzintla","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Mexico","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"micai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.micai.org\/2024\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}