{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T19:04:09Z","timestamp":1754161449482,"version":"3.41.2"},"reference-count":31,"publisher":"Emerald","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,10,28]]},"abstract":"<jats:sec>\n                  <jats:title>Purpose<\/jats:title>\n                  <jats:p>\u2013 The purpose of this paper is to construct a novel grey dominance variable precision rough model.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design\/methodology\/approach<\/jats:title>\n                  <jats:p>\u2013 To deal with the problems that the attribute values of the decision-making object are often not exact numbers but interval grey numbers, and the decision-making attributes satisfy a certain preference relationship in the decision-making information because of the complexity and uncertainty of the real world, the authors take advantage of the theoretical thinking of the grey systems, dominance rough set theory and variable precision rough set theory, and construct a novel dominance variable precision rough set model. On the basis of the thinking logic of grey systems, the authors first define the concepts of balance degree, dominance degree and inferior degree, and then the grey dominance relationship based on the comparison of interval grey numbers. Then the authors use the grey dominance relationship to substitute for the indiscernibility relationship of the variable precision rough set so that the grey dominance variable precision rough model is naturally utilized to reduce the system's attributes in order to derive the needed decision rules. At the end, the authors use a decision-making example of the radar target selection to demonstrate the feasibility and effectiveness of the novel model.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Findings<\/jats:title>\n                  <jats:p>\u2013 The results show that the proposed model possesses certain fault tolerance ability and can well-realize decision rule extraction and knowledge discovery out of a given incomplete information system.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Practical implications<\/jats:title>\n                  <jats:p>\u2013 The method exposed in the paper can be used to deal with the decision-making problems with the grey information, preference information and noise data.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Originality\/value<\/jats:title>\n                  <jats:p>\u2013 The paper succeeds in realizing both the grey decision-making information with preference information and noise data and the extraction of decision-making rules.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1108\/gs-08-2014-0027","type":"journal-article","created":{"date-parts":[[2014,11,5]],"date-time":"2014-11-05T08:26:27Z","timestamp":1415175987000},"page":"473-486","source":"Crossref","is-referenced-by-count":4,"title":["Grey dominance variable precision rough set model based on grey dominance relationship"],"prefix":"10.1108","volume":"4","author":[{"given":"Yong","family":"Liu","sequence":"first","affiliation":[{"name":"School of Business, Jiangnan University, Wuxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wu-yong","family":"Qian","sequence":"additional","affiliation":[{"name":"School of Business, Jiangnan University, Wuxi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeffrey","family":"Forrest","sequence":"additional","affiliation":[{"name":"College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China and Mathematics Department, Slippery Rock University, Slippery Rock, Pennsylvania, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"issue":"7","key":"2025072817545888200_b1","first-page":"57","article-title":"Selection method of radar countermeasures targets based on interval number grey relationship analysis","volume":"25","author":"","year":"2010","journal-title":"Electronic Warfare Technology"},{"issue":"1","key":"2025072817545888200_b2","first-page":"137","article-title":"Pure strategy solution and venture problem of grey matrix game based on undeterminable directly interval grey number[J]","volume":"49","author":"","year":"2006","journal-title":"Journal of Jilin University (Engineering and Technology Edition)"},{"issue":"8","key":"2025072817545888200_b3","doi-asserted-by":"crossref","first-page":"1968","DOI":"10.1016\/j.ins.2007.12.005","article-title":"Rough set theory for interval-valued fuzzy information systems","volume":"178","author":"","year":"2008","journal-title":"Information Sciences"},{"issue":"1","key":"2025072817545888200_b4","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/S0377-2217(98)00127-1","article-title":"Rough approximation of a preference relationship by dominance relationships","volume":"117","author":"","year":"1999","journal-title":"European Journal of Operational Research"},{"issue":"1","key":"2025072817545888200_b5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0377-2217(00)00167-3","article-title":"Rough sets theory for multi-criteria decision analysis","volume":"129","author":"","year":"2001","journal-title":"European Journal of Operational Research"},{"issue":"2","key":"2025072817545888200_b6","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/S0377-2217(01)00244-2","article-title":"Rough sets methodology for sorting problems in presence of multiple attributes and criteria","volume":"138","author":"","year":"2002","journal-title":"European Journal of Operational Research"},{"issue":"2","key":"2025072817545888200_b7","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1002\/int.10014","article-title":"Rough approximation by dominance relationships","volume":"17","author":"","year":"2002","journal-title":"International Journal of Intelligent Systems"},{"key":"2025072817545888200_b9","doi-asserted-by":"crossref","unstructured":"Jian, L.R.\n          , Lin, Y. and Liu, S.F. 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