{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T14:39:27Z","timestamp":1784731167773,"version":"3.55.0"},"reference-count":198,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2016,2,1]],"date-time":"2016-02-01T00:00:00Z","timestamp":1454284800000},"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":[[2016,2,1]]},"abstract":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 The purpose of this paper is to summarize the progress in grey system research during 2000-2015, so as to present some important new concepts, models, methods and a new framework of grey system theory. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 The new thinking, new models and new methods of grey system theory and their applications are presented in this paper. It includes algorithm rules of grey numbers based on the \u201ckernel\u201d and the degree of greyness of grey numbers, the concept of general grey numbers, the synthesis axiom of degree of greyness of grey numbers and their operations; the general form of buffer operators of grey sequence operators; the four basic models of grey model GM(1,1), such as even GM, original difference GM, even difference GM, discrete GM and the suitable sequence type of each basic model, and suitable range of most used grey forecasting models; the similarity degree of grey incidences, the closeness degree of grey incidences and the three-dimensional absolute degree of grey incidence of grey incidence analysis models; the grey cluster model based on center-point and end-point mixed triangular whitenization functions; the multi-attribute intelligent grey target decision model, the two stages decision model with grey synthetic measure of grey decision models; grey game models, grey input-output models of grey combined models; and the problems of robust stability for grey stochastic time-delay systems of neutral type, distributed-delay type and neutral distributed-delay type of grey control, etc. And the new framework of grey system theory is given as well. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 The problems which remain for further studying are discussed at the end of each section. The reader could know the general picture of research and developing trend of grey system theory from this paper. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title>\n               <jats:p> \u2013 A lot of successful practical applications of the new models to solve various problems have been found in many different areas of natural science, social science and engineering, including spaceflight, civil aviation, information, metallurgy, machinery, petroleum, chemical industry, electrical power, electronics, light industries, energy resources, transportation, medicine, health, agriculture, forestry, geography, hydrology, seismology, meteorology, environment protection, architecture, behavioral science, management science, law, education, military science, etc. These practical applications have brought forward definite and noticeable social and economic benefits. It demonstrates a wide range of applicability of grey system theory, especially in the situation where the available information is incomplete and the collected data are inaccurate. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 The reader is given a general picture of grey systems theory as a new model system and a new framework for studying problems where partial information is known; especially for uncertain systems with few data points and poor information. The problems remaining for further studying are identified at the end of each section.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/gs-09-2015-0054","type":"journal-article","created":{"date-parts":[[2016,5,9]],"date-time":"2016-05-09T06:43:08Z","timestamp":1462776188000},"page":"2-31","source":"Crossref","is-referenced-by-count":167,"title":["New progress of Grey System Theory in the new millennium"],"prefix":"10.1108","volume":"6","author":[{"given":"Sifeng","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingjie","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naiming","family":"Xie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jeffrey","family":"Forrest","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","reference":[{"key":"key2020121822065377100_b1","doi-asserted-by":"crossref","unstructured":"Amanna, A.\n               , \n                  Price, M.J.\n                and \n                  Thamvichai, R.\n                (2011), \u201cGrey systems theory applications to wireless communications\u201d, \n                  Analog Integrated Circuits and Signal Processing\n               , Vol. 69 Nos 2-3, pp. 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         , Vol. 32 No. 3, pp. 267-291.","DOI":"10.1016\/j.apm.2006.12.002"},{"key":"key2020121822065377100_b69","doi-asserted-by":"crossref","unstructured":"Li, Q.-X.\n               , \n                  Liu, S.-F.\n                and \n                  Lin, Yi.\n                (2012b), \u201cGrey enterprise input-output analysis\u201d, \n                  Journal of Computational and Applied Mathematics\n               , Vol. 236 No. 7, pp. 1862-1875.","DOI":"10.1016\/j.cam.2011.10.018"},{"key":"key2020121822065377100_b64","unstructured":"Li, T.\n               , \n                  Ren, M.\n                and \n                  Chen, H.\n                (2010), \u201cFatigue crack growth rate calculation method baseing on gray theory\u201d, \n                  Journal of Mechanical Strength\n               , Vol. 32 No. 3, pp. 472-475."},{"key":"key2020121822065377100_b65","unstructured":"Li, X.\n               , \n                  Dang, Y.\n                and \n              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285-287."},{"key":"key2020121822065377100_b116","doi-asserted-by":"crossref","unstructured":"Oztaysi, B.\n                (2014), \u201cA decision model for information technology selection using AHP integrated TOPSIS-Grey: the case of content management systems\u201d, \n                  Knowledge-Based Systems\n               , Vol. 70 No. SI, pp. 44-54.","DOI":"10.1016\/j.knosys.2014.02.010"},{"key":"key2020121822065377100_b117","unstructured":"Peng, F.\n               , \n                  Wu, G.\n                and \n                  Min, F.\n                (2005), \u201cGrey programming cluster and application in evaluation of oil and gas cap layer\u201d, \n                  Journal of Hunan University of Science and Technology\n               , Vol. 20 No. 2, pp. 5-10."},{"key":"key2020121822065377100_b118","unstructured":"Qian, W.\n               , \n                  Dang, Y.\n                and \n                  Liu, S.F.\n                (2012), \u201cGrey GM(1,1, t) 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170-173."},{"key":"key2020121822065377100_b131","unstructured":"Tang, K.\n               , \n                  Zhou, N.\n                and \n                  Fan, X.\n                (2012), \u201cAnalysis on the factors influencing the gas well productivity of S2 gas pool in permian of Zizhou gas field\u201d, \n                  Computing Techniques for Geophysical and Geochemical Exploration\n               , Vol. 34 No. 6, pp. 723-728."},{"key":"key2020121822065377100_b132","unstructured":"Tang, W.\n                (2006), \u201cNew forecasting model based on grey support vector machine\u201d, \n                  Journal of System Engineering\n               , Vol. 21 No. 4, pp. 410-413."},{"key":"key2020121822065377100_b133","unstructured":"Tian, J.\n                and \n                  Yi, Lu\n                (2007), \u201cResearch on grey prediction model of the slab temperature in heating furnace\u201d, \n                  Journal of Northeast University\n               , Vol. 28 No. S1, pp. 6-10."},{"key":"key2020121822065377100_b134","doi-asserted-by":"crossref","unstructured":"Tien, T.L.\n                (2003), \u201cA research on the deterministic grey dynamic model with multiple inputs DGDMMI(1,1,1)\u201d, \n                  Applied Mathematics and Computation\n               , Vol. 139 Nos 2-3, pp. 401-416.","DOI":"10.1016\/S0096-3003(02)00203-5"},{"key":"key2020121822065377100_b135","unstructured":"Tong, X.J.\n               , \n                  Chen, M.Y.\n                and \n                  Zhou, L.\n                (2002), \u201cOn AGO effect of the grey model\u201d, \n                  Systems Engineering \u2013 Theory and Practice\n               , Vol. 22 No. 11, pp. 121-125."},{"key":"key2020121822065377100_b136","doi-asserted-by":"crossref","unstructured":"Twala, B.\n                (2014), \u201cExtracting grey relational systems from incomplete road traffic accidents data: the case of gauteng province in South Africa\u201d, \n    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