{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:29:19Z","timestamp":1770748159091,"version":"3.49.0"},"reference-count":20,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2016,8,1]],"date-time":"2016-08-01T00:00:00Z","timestamp":1470009600000},"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":[[2016,8,1]]},"abstract":"\n Purpose<\/jats:title>\n \u2013 The purpose of this paper is to propose the grey target decision method based on three-parameter interval grey number for dealing with multi-attribute decision-making problems under uncertain environment. <\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n \u2013 First, the kernel and ranking method of three-parameter interval grey number are defined, which is the basis of determining the positive and negative bull\u2019s-eye. Next, a new distance measure of three-parameter interval grey number is defined in view of the importance of the \u201ccenter of gravity\u201d point. Furthermore, a new comprehensive bull\u2019s-eye distance is proposed based on the kernel which integrates the distance between different attributes to the positive and negative bull\u2019s-eye. Then attribute weights are obtained by comprehensive bull\u2019s-eye distance minimum and grey entropy maximization. <\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n \u2013 The paper provides a grey target decision method based on three-parameter interval grey number and example analysis shows that the method proposed in this paper is more reasonable and effective. <\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n \u2013 If we have a better understanding of the distribution characteristics of three-parameter interval grey number, it is possible to have a more reasonable measure of the distance of three-parameter interval grey number. <\/jats:p>\n <\/jats:sec>\n \n Practical implications<\/jats:title>\n \u2013 The paper provides a grey target decision method, which can help decision maker deal with multi-attribute decision-making problems under uncertain environment. <\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n \u2013 This paper proposed the kernel and ranking method of three-parameter interval grey number, and defined a new distance measure of three-parameter interval grey number and proposed a new comprehensive bull\u2019s-eye distance, Furthermore, this paper structured a grey target decision method based on three-parameter interval grey number.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/gs-05-2016-0010","type":"journal-article","created":{"date-parts":[[2016,7,26]],"date-time":"2016-07-26T05:55:36Z","timestamp":1469512536000},"page":"270-280","source":"Crossref","is-referenced-by-count":13,"title":["Multi-attribute grey target decision method with three-parameter interval grey number"],"prefix":"10.1108","volume":"6","author":[{"given":"Ye","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shanli","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"San-dang","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"key":"key2020121401145441700_b13","unstructured":"Bu, G.-Z.\n and \n Zhang, Y.-W.\n (2001), \u201cGrey fuzzy comprehensive evaluation method based on numbers of three parameters\u201d, \n Systems Engineering and Electronics\n , Vol. 23 No. 9, pp. 408-412."},{"key":"key2020121401145441700_b7","unstructured":"Dai, W.-Z.\n and \n Li, J.-L.\n (2014), \u201cOff-target deviation degree method for grey multi-attribute group decision-making\u201d, \n System Engineering Theory & Practice\n , Vol. 34 No. 3, pp. 787-792."},{"key":"key2020121401145441700_b2","unstructured":"Deng, J.-L.\n (2002), \n Grey System Theory\n , Huazhong University of Science and Technology Press, Wuhan."},{"key":"key2020121401145441700_b11","unstructured":"Jia, L.-T.\n , \n Tong, Z.-X.\n , \n Wang, C.\n \n et al. 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124-130.","DOI":"10.1016\/S1874-8651(10)60033-6"},{"key":"key2020121401145441700_b6","unstructured":"Luo, D.\n (2013), \u201cMulti-objective grey target decision model based on positive and negative clouts\u201d, \n Control and Decision\n , Vol. 28 No. 2, pp. 241-246."},{"key":"key2020121401145441700_b20","unstructured":"Luo, D.\n and \n Sun, L.\n (2014), \u201cThe multi-objective grey target decision method under the information of three-parameter interval grey number\u201d, 25th Workshop on Grey System Theory and its Applications Symposium, Beijing, November."},{"key":"key2020121401145441700_b15","doi-asserted-by":"crossref","unstructured":"Luo, D.\n and \n Wang, X.\n (2012), \u201cThe multi-attribute grey target decision method for attribute value within three-parameter interval grey number\u201d, \n Applied Mathematical Modeling\n , Vol. 36 No. 5, pp. 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