{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:56:57Z","timestamp":1754157417902,"version":"3.41.2"},"reference-count":14,"publisher":"Emerald","issue":"7\/8","license":[{"start":{"date-parts":[[2009,8,7]],"date-time":"2009-08-07T00:00:00Z","timestamp":1249603200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,8,7]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to introduce the new class ratio dispersion, the new smooth degree sequence and the comparison criterion of the new smooth degree and to propose the new prior check of grey modeling in order to meet the modeling demand of the optimized grey models which have the white exponential law of coincidence.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>This paper introduces the corresponding new concepts and new comparison criterion which can reflect the approach degree of the raw data and the normal geometric progression by analogy with the traditional class ratio dispersion, smooth degree sequence and comparison criterion.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>To the optimized grey models, the new concepts and the new comparison criterion can be regarded as the prior check of grey modeling.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>First, the new concepts and the new comparison criterion can reflect the approach degree of the raw data and the normal geometric progression, and this paper proposes the prior check of grey modeling to the optimized grey models. Second, this paper proposes the quantificational valuation criterion \u2013 the concept of the smooth degree which can reflect the approach degree of a single sequence and the normal geometric progression, and ends the status quo that there is only the comparison criterion of the smooth degree between two sequences but not the quantificational valuation criterion of a single sequence.<\/jats:p><\/jats:sec>","DOI":"10.1108\/03684920910976952","type":"journal-article","created":{"date-parts":[[2009,10,5]],"date-time":"2009-10-05T10:51:05Z","timestamp":1254739865000},"page":"1257-1264","source":"Crossref","is-referenced-by-count":3,"title":["A new method to evaluate whether the data are suitable to GM model or not"],"prefix":"10.1108","volume":"38","author":[{"given":"Yong","family":"Wei","sequence":"first","affiliation":[]},{"given":"Dahong","family":"Hu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2021010620412743700_b1","unstructured":"Chen, Y. and Wei, Y. (2007), \u201cApplication of grey relative relational degree in optimization of grey model GM (1,1)\u201d, The Journal of Grey System, No. 4, pp. 321\u201032."},{"key":"key2021010620412743700_b2","unstructured":"Deng, J. (1985), \u201cGM model of the grey system theory\u201d, Fuzzy Mathematics, No. 2, pp. 23\u201032."},{"key":"key2021010620412743700_b3","unstructured":"Hu, D. and Wei, Y. (2007), \u201cStudy on the 2\u2010AGO difference grey model\u201d, The Journal of Grey System, No. 4, pp. 351\u20108."},{"key":"key2021010620412743700_b4","unstructured":"Luo, D., Liu, S. and Dang, Y. (2003), \u201cThe optimization of grey model GM(1,1)\u201d, Engineering Science, Vol. 5 No. 8, pp. 50\u20103."},{"key":"key2021010620412743700_b5","unstructured":"Wang, Z., Dang, Y., Liu, S. and Zhou, J. (2007), \u201cThe optimization of background value in GM(1,1) model\u201d, Journal of Grey System, Vol. 10 No. 2, pp. 69\u201074."},{"key":"key2021010620412743700_b6","unstructured":"Wei, Y. (2007), \u201cTwo effective methods of solving approximately the parameter of GM (1, 1)\u201d, Mathematics in Practice and Theory, No. 7, pp. 108\u201012."},{"key":"key2021010620412743700_b7","unstructured":"Wei, Y. and Zhang, Y. (2006), \u201cThe optimization of GM(1,1) model and a method of solving the parameter\u201d, Mathematics in Practice and Theory, No. 1, pp. 203\u20107."},{"key":"key2021010620412743700_b8","unstructured":"Wei, Y. and Zhang, Y. (2007a), \u201cA criterion of comparing the function transformations to raise the smooth degree of grey modeling data\u201d, The Journal of Grey System, No. 1, pp. 91\u20108."},{"key":"key2021010620412743700_b9","unstructured":"Wei, Y. and Zhang, Y. (2007b), \u201cAn essential characteristic of the discrete function transformation to increase the smooth degree of data\u201d, The Journal of Grey System, No. 3, pp. 293\u2010300."},{"key":"key2021010620412743700_b10","doi-asserted-by":"crossref","unstructured":"Wei, Y. and Zhang, Y. (2007c), \u201cThe concepts of the relative width of grey common ratio and the absolute width of grey development coefficient and its application of the prior check in grey modelling\u201d, Proceedings of 2007 IEEE International Conference on Grey Systems and Intelligent Services, Nanjing, China, October 17\u201018, pp. 515\u20108.","DOI":"10.1109\/GSIS.2007.4443327"},{"key":"key2021010620412743700_b11","unstructured":"Xie, N. and Liu, S. (2005), \u201cDiscrete GM (1,1) and mechanism of grey forecasting model\u201d, Systems Engineering Theory & Practice, Vol. 25 No. 1, pp. 93\u20108."},{"key":"key2021010620412743700_b12","unstructured":"Xie, N. and Liu, S. (2006), \u201cResearch on discrete grey model and its predictive result\u201d, Journal of Systems Engineering, Vol. 21 No. 5, pp. 520\u20103."},{"key":"key2021010620412743700_b13","unstructured":"Zhang, Y. and Wei, Y. (2007), \u201cAn approach of GM(1,1) based on optimum grey derivative\u201d, The Journal of Grey System, No. 4, pp. 397\u2010404."},{"key":"key2021010620412743700_b14","unstructured":"Zhou, P. and Wei, Y. 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