{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T18:11:01Z","timestamp":1754158261465,"version":"3.41.2"},"reference-count":28,"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":"<jats:sec>\n               <jats:title content-type=\"abstract-heading\">Purpose<\/jats:title>\n               <jats:p> \u2013 The purpose of this paper is to evaluate and rank the influence of internet public opinion of China\u2019s Government work in 2015 by weighted absolute degree of grey incidence with TOPSIS. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title>\n               <jats:p> \u2013 This disaggregation method includes four main steps, determine the vector of weights for the factors by analytic hierarchy process, calculate the matrix of consistent effect measure, determine the weighted absolute degree of grey incidence with TOPSIS, rank and evaluate the events. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Findings<\/jats:title>\n               <jats:p> \u2013 We get the ranking of internet public opinion of China\u2019s Government work in 2015 by weighted absolute degree of grey incidence with TOPSIS. The result can be used for evaluating and ranking the influence of internet public opinion in China. The positive weighted absolute degree of grey incidence, the negative weighted absolute degree of grey incidence and the weighted absolute degree of grey incidence with TOPSIS have the same ranking results. The same ranking results show that the method of weighted absolute degree of grey incidence with TOPSIS has good consistency. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title>\n               <jats:p> \u2013 The weighted absolute degree of grey incidence with TOPSIS can be easily used for other evaluation. <\/jats:p>\n            <\/jats:sec>\n            <jats:sec>\n               <jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title>\n               <jats:p> \u2013 The weighted absolute degree of grey incidence with TOPSIS is proposed and first used for evaluating and ranking the influence of internet public opinion of China\u2019s Government work.<\/jats:p>\n            <\/jats:sec>","DOI":"10.1108\/gs-11-2015-0074","type":"journal-article","created":{"date-parts":[[2016,7,26]],"date-time":"2016-07-26T05:55:36Z","timestamp":1469512536000},"page":"281-291","source":"Crossref","is-referenced-by-count":7,"title":["Weighted absolute degree of grey incidence with TOPSIS and its application"],"prefix":"10.1108","volume":"6","author":[{"given":"Qian","family":"Li","sequence":"first","affiliation":[]}],"member":"140","reference":[{"key":"key2020121400432629800_b1","doi-asserted-by":"crossref","unstructured":"Chen, W.\n               , \n                  Liu, S.F.\n               , \n                  Smieliauskas, W.J.\n                and \n                  Trippen, G.\n                (2012), \u201cInfluence factors analysis of online auditing performance assessment a combined use between AHP and GIA\u201d, \n                  Kybernetes\n               , Vol. 41 No. 5, pp. 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