{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T20:25:45Z","timestamp":1775161545975,"version":"3.50.1"},"reference-count":12,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2014,7,29]],"date-time":"2014-07-29T00:00:00Z","timestamp":1406592000000},"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":[[2014,7,29]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this paper is to put forward a multi-stage information aggregation method based on grey inspiriting control lines to evaluate the objects dynamically and comprehensively. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 According to the evaluation value of the objects, the positive and negative incentive lines were set up and the predicted values were solved based on the grey GM<\/jats:italic>(1, 1) model, so the value with expected information could be evaluated. In the evaluation, the part above the positive incentive line should be \u201crewarded\u201d and that below the negative incentive line should be \u201cpunished\u201d appropriately. Thereby the double incentive effects of \u201cthe current development situation and future development trend\u201d to objects could be implemented on the basis of control. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 This method can primarily describe the decision maker's expectancy of the development of evaluation objects and make the evaluation results have better practical application value. <\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n \u2013 Many comprehensive evaluations were always based on the past information. However, the future development trend of the evaluated object is also very important. This study can be used in the evaluation for future application and development. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 The paper succeeds in providing not only a method of multi-phase information aggregation with expectancy information, but also a simple and convenient method solving nonlinear inspiring lines objectively.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/gs-08-2013-0017","type":"journal-article","created":{"date-parts":[[2014,7,29]],"date-time":"2014-07-29T14:13:42Z","timestamp":1406643222000},"page":"154-163","source":"Crossref","is-referenced-by-count":2,"title":["Multi-phase information aggregation and dynamic synthetic evaluation based on grey inspiriting control lines"],"prefix":"10.1108","volume":"4","author":[{"given":"San-dang","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sifeng","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigeng","family":"Fang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingling","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020123021555906800_b1","unstructured":"Fan, Z.P.\n and \n Wang, X.R.\n (2000), \u201cA new method for multiple attribute decision of making problem with time series\u201d, Forecasting, Vol. 19 No. 4, pp. 49-50."},{"key":"key2020123021555906800_b2","unstructured":"Fan, Z.P.\n and \n Xiao, S.H.\n (1995), \u201cA relation grade approach for the dynamic multiple attribute decision making\u201d, System Engineering, Vol. 13 No. 1, pp. 23-27."},{"key":"key2020123021555906800_b3","unstructured":"Guo, Y.J.\n (2002), \u201cNew theory and method of dynamic comprehensive evaluation\u201d, Journal of Management Sciences in China, Vol. 5 No. 2, pp. 50-54."},{"key":"key2020123021555906800_b4","doi-asserted-by":"crossref","unstructured":"Hwang, C.L.\n and \n Yoon, K.\n (1981), Multiple Attribute Decision Making, Springer-Verlag, Berlin.","DOI":"10.1007\/978-3-642-48318-9"},{"key":"key2020123021555906800_b5","unstructured":"Jin, J.L.\n , \n Wang, S.J.\n and \n Wei, Y.M.\n (2004), \u201cProjection pursuit model for dynamic multiple attribute decision problems\u201d, Chinese Journal of Management Science, Vol. 12 No. 1, pp. 64-67."},{"key":"key2020123021555906800_b6","unstructured":"Liu, S.F.\n , \n Dang, Y.G.\n and \n Fang, Z.G.\n (2010), Xie Nai-ming, \u2018Grey System Theory and its Applications\u2019, 3rd ed., Science Press, Beijing."},{"key":"key2020123021555906800_b7","doi-asserted-by":"crossref","unstructured":"Sung, T.K.\n , \n Chang, N.\n and \n Lee, G.\n (1999), \u201cDynamics of modeling in data mining: interpretive approach to bankruptcy prediction\u201d, Journal of Management Information Systems, Vol. 16 No. 1, pp. 63-85.","DOI":"10.1080\/07421222.1999.11518234"},{"key":"key2020123021555906800_b8","unstructured":"Wang, Y.M.\n (1997), \u201cAn ideal point decision method with time series and application\u201d, China's Soft Science, No. 7, pp. 94-98."},{"key":"key2020123021555906800_b9","unstructured":"Yang, Y.M.\n (1997), \u201cAn satisfaction matrix method for multiple attribute decision making with time series\u201d, Forecasting, Vol. 16 No. 1, pp. 71-72."},{"key":"key2020123021555906800_b10","unstructured":"Yi, P.T.\n , \n Guo, Y.J.\n and \n Zhang, D.N.\n (2007), \u201cA multi-phase information aggregation method based on double inspiriting control lines\u201d, Forecasting, Vol. 26 No. 3, pp. 39-43."},{"key":"key2020123021555906800_b11","unstructured":"YI, P.T.\n , \n Zhang, D.N.\n and \n Guo, Y.J.\n (2010), \u201cA multi-phase information aggregation method based on extensive inspiriting control lines\u201d, Operations Research and Management Science, Vol. 19 No. 1, pp. 49-55."},{"key":"key2020123021555906800_b12","unstructured":"Yu, X.F.\n and \n Du, Y.P.\n (2004), \u201cTOPSIS to time series MADM problem with interval value of the time weighting\u201d, The Journal of Quantitative & Technical Economics, Vol. 21 No. 3, pp. 42-47."}],"container-title":["Grey Systems: Theory and 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Mi","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2014,7,29]]},"references-count":12,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,7,29]]}},"alternative-id":["10.1108\/GS-08-2013-0017"],"URL":"https:\/\/doi.org\/10.1108\/gs-08-2013-0017","relation":{},"ISSN":["2043-9377"],"issn-type":[{"value":"2043-9377","type":"print"}],"subject":[],"published":{"date-parts":[[2014,7,29]]}}}