{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:42:51Z","timestamp":1777704171184,"version":"3.51.4"},"reference-count":13,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2018,6,5]],"date-time":"2018-06-05T00:00:00Z","timestamp":1528156800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,10]]},"abstract":"<jats:p>In order to analyze the change trend in risk financial assets of the retail business, this paper which is combined with the advantages of grey prediction system and Markov chain, establishes the \u201cgrey differential-Markov chain\u201d intelligent prediction and evaluation model according to business characteristics. Meanwhile, the modeling steps are introduced, and the solution methods, model validation results, model prediction and evaluation methods are introduced in detail through specific cases. Through specific analysis, this paper aims to show that the model has high prediction accuracy and wide application value in the field of financial retail business.<\/jats:p>","DOI":"10.3233\/jifs-169619","type":"journal-article","created":{"date-parts":[[2018,6,5]],"date-time":"2018-06-05T14:32:39Z","timestamp":1528209159000},"page":"2679-2684","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Intelligent forecasts and evaluation of financial risk assets based on Grey Markov chain model"],"prefix":"10.1177","volume":"35","author":[{"given":"Zongyi","family":"Yin","sequence":"first","affiliation":[{"name":"School of Management, China Research Center for Emergency Management, Wuhan University of Technology, Wuhan, China"},{"name":"Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan, 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