{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T19:03:32Z","timestamp":1754161412122,"version":"3.41.2"},"reference-count":12,"publisher":"Emerald","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,8,3]]},"abstract":"<jats:sec>\n                  <jats:title>Purpose<\/jats:title>\n                  <jats:p>\u2013 For the multi-stage and multi-attribute risk group decision-making problem, the attribute weight, decision-maker weight and time weight are unknown. The attribute value is grey information. The purpose of this paper is to discuss a decision-making method.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design\/methodology\/approach<\/jats:title>\n                  <jats:p>\u2013 Analysis techniques and the theory about distance degree are used to determine the decision-maker weight within single stage. Grey relational analysis method is applied to determine the attribute weight. Moreover, the uncertainty of time weight and the proximity between the attribute value and positive\/negative value are taken into account. A multi-objective optimization model is established based on maximum entropy to obtain time weights, so the comprehensive value is determined.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Findings<\/jats:title>\n                  <jats:p>\u2013 An example shows the effectiveness and practicability.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Originality\/value<\/jats:title>\n                  <jats:p>\u2013 For a decision-making process, the results are different in different periods. This method is computationally very simple, easily comprehensible.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1108\/gs-01-2015-0002","type":"journal-article","created":{"date-parts":[[2015,7,16]],"date-time":"2015-07-16T09:52:27Z","timestamp":1437040347000},"page":"222-233","source":"Crossref","is-referenced-by-count":4,"title":["Multi-stage and multi-attribute risk group decision-making method based on grey information"],"prefix":"10.1108","volume":"5","author":[{"given":"Dang","family":"Luo","sequence":"additional","affiliation":[{"name":"College of Mathematics & Information Sciences, North China University of Water Resources and Electric Power, Zhengzhou, China"}]},{"given":"Yuwen","family":"Li","sequence":"additional","affiliation":[{"name":"College of Mathematics & Information Sciences,North China University of Water Resources and Electric Power,Zhengzhou, China"}]}],"member":"140","reference":[{"issue":"5","key":"2025072817584799300_b1","first-page":"971","article-title":"Risky multicriteria group decision approach based on bayesian theory and monte carlo simulation","volume":"32","author":"","year":"2010","journal-title":"Systems Engineering and Electronics"},{"issue":"12","key":"2025072817584799300_b2","first-page":"3175","article-title":"Interval-valued intuitionistic fuzzy multi-criteria decision-making method based on prospect theory","volume":"34","author":"","year":"2014","journal-title":"Systems Engineering-Theory & Practice"},{"issue":"6","key":"2025072817584799300_b3","first-page":"893","article-title":"Method for multi-attribute decision-making under risk with the uncertain linguistic variables based on prospect theory","volume":"26","author":"","year":"2011","journal-title":"Control and Decision"},{"issue":"9","key":"2025072817584799300_b4","first-page":"2133","article-title":"Research on multiple attribute decision-making under risk with continuous random variable and weight unknown","volume":"31","author":"","year":"2009","journal-title":"Systems Engineering and Electronics"},{"issue":"2","key":"2025072817584799300_b5","first-page":"276","article-title":"Method of hybrid multi-attribute decision-making with risk of interval probability under attribute weight unknown","volume":"27","author":"","year":"2012","journal-title":"Control and Decision"},{"issue":"4","key":"2025072817584799300_b7","first-page":"87","article-title":"Method for risky multiple attribute decision making considering decision maker\u2019s partial attribute aspirations","volume":"23","author":"","year":"2014","journal-title":"Operations Research and Management Science"},{"issue":"4","key":"2025072817584799300_b10","first-page":"1674","article-title":"Grey multi-attribute risk group decision-making method","volume":"30","author":"","year":"2008","journal-title":"Systems Engineering and Electronics"},{"issue":"2","key":"2025072817584799300_b12","first-page":"3929","article-title":"An approach to group decision making based on interval multiplicative and fuzzy preference relations by using projection","volume":"27","author":"","year":"2013","journal-title":"Applied Mathematical Modelling"},{"issue":"6","key":"2025072817584799300_frd1","first-page":"940","article-title":"Multi-attribute and multistage decision-making method with unknown weights","volume":"28","author":"","year":"2013","journal-title":"Control and Decision"},{"issue":"11","key":"2025072817584799300_frd2","first-page":"1756","article-title":"Multi-stage three-endpoint group decision-making method considered stage weight","volume":"28","author":"","year":"2013","journal-title":"Control and Decision"},{"issue":"1","key":"2025072817584799300_frd3","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1016\/S1874-8651(10)60033-6","article-title":"Decision-making methods with three-parameter interval grey number","volume":"29","author":"","year":"2009","journal-title":"Systems Engineering-Theory & Practice"},{"issue":"1","key":"2025072817584799300_frd4","first-page":"106","article-title":"Method of ranking three parameters interval grey numbers and its application in interval DEA model","volume":"1","author":"","year":"2011","journal-title":"Systems Engineering and Electronics"}],"container-title":["Grey Systems: Theory and Application"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/GS-01-2015-0002","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/GS-01-2015-0002\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/gs\/article-pdf\/5\/2\/222\/652023\/gs-01-2015-0002.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/www.emerald.com\/gs\/article-pdf\/5\/2\/222\/652023\/gs-01-2015-0002.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T21:58:54Z","timestamp":1753739934000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/gs\/article\/5\/2\/222\/99678\/Multi-stage-and-multi-attribute-risk-group"}},"subtitle":[],"editor":[{"given":"Professor","family":"Delcea Camelia","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2015,8,3]]},"references-count":12,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2015,8,3]]}},"URL":"https:\/\/doi.org\/10.1108\/gs-01-2015-0002","relation":{},"ISSN":["2043-9377","2043-9385"],"issn-type":[{"type":"print","value":"2043-9377"},{"type":"electronic","value":"2043-9385"}],"subject":[],"published":{"date-parts":[[2015,8,3]]}}}