{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T02:40:19Z","timestamp":1769740819433,"version":"3.49.0"},"reference-count":30,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["GS"],"published-print":{"date-parts":[[2019,7,1]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this paper is to study the essential characteristics of grey relational degree of proximity, to analyse the abstract meaning of grey relational degree of similarity and fully consider the two different relational degree models.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The paper constructed the grey proximity relational degree by using the weighted mean distance. To analyse the motivation of the development of things, this paper constructed the grey similarity degree by using the concept of induced strength. Finally, the two correlation models are weighted by reliability weighting.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The research finding shows that the distance is the essence of the grey relational degree of proximity, and the induced strength is a good explanation of the similarities in the development of things.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>The analyses imply that the total amount of water consumption in China has the greatest correlation with the consumption of agricultural water resources, followed by the consumption of industrial water resources, and the least correlation with the consumption of domestic water resources.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The paper succeeds in realizing the essential characteristics of grey relational degree of proximity and the abstract meaning of grey relational degree of similarity. Besides, the resolution of the correlation degree can be greatly improved by reliability weighting.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/gs-09-2018-0037","type":"journal-article","created":{"date-parts":[[2019,2,28]],"date-time":"2019-02-28T03:37:15Z","timestamp":1551325035000},"page":"374-384","source":"Crossref","is-referenced-by-count":9,"title":["A new grey comprehensive relational model based on weighted mean distance and induced intensity and its application"],"prefix":"10.1108","volume":"9","author":[{"given":"Kedong","family":"Yin","sequence":"first","affiliation":[]},{"given":"Jie","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Xuemei","family":"Li","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"22","key":"key2020092220003269400_ref001","first-page":"130","article-title":"Problems of classic generalized grey incidence and its improvements","volume":"51","year":"2015","journal-title":"Computer Engineering and Applications"},{"issue":"5","key":"key2020092220003269400_ref002","first-page":"1304","article-title":"Cubic spline based grey absolute relational grade model","volume":"35","year":"2015","journal-title":"System Engineering \u2013 Theory & Practice"},{"key":"key2020092220003269400_ref003","first-page":"331","article-title":"Research on grey slope correlation","year":"1994","journal-title":"Agricultural Systems Science and Comprehensive Research"},{"issue":"3","key":"key2020092220003269400_ref004","first-page":"41","article-title":"Improvement on degree of grey slope incidence","volume":"6","year":"2004","journal-title":"Engineering Science"},{"issue":"5","key":"key2020092220003269400_ref005","doi-asserted-by":"crossref","first-page":"288","DOI":"10.1016\/S0167-6911(82)80025-X","article-title":"Control problems of grey systems","volume":"1","year":"1982","journal-title":"Systems & Control Letters"},{"issue":"1","key":"key2020092220003269400_ref006","first-page":"128","article-title":"Study on the model of grey periodic incidence judged on slope","volume":"18","year":"2010","journal-title":"Chinese Journal of Management Science"},{"issue":"4","key":"key2020092220003269400_ref007","first-page":"685","article-title":"Grey incidence decision making model based on area","volume":"30","year":"2015","journal-title":"Operation Research and Management Science"},{"issue":"9","key":"key2020092220003269400_ref008","first-page":"132","article-title":"Grey trend analysis based on grey relational degree with rate of change and its application","volume":"23","year":"2015","journal-title":"Chinese Journal of Management Science"},{"key":"key2020092220003269400_ref009","first-page":"1245","article-title":"Grey generation rate relational analysis model based on grey exponential law and its application","volume":"7","year":"2015","journal-title":"Control and Decision"},{"issue":"1","key":"key2020092220003269400_ref010","first-page":"57","article-title":"GCRA model for grey trend analysis and its application","volume":"27","year":"2015","journal-title":"Journal of Grey System"},{"key":"key2020092220003269400_ref011","unstructured":"Liu, S.F., Xie, N.M. and Forrest, J.Y.-L. 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