{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,2]],"date-time":"2025-08-02T17:56:44Z","timestamp":1754157404812,"version":"3.41.2"},"reference-count":20,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2012,8,17]],"date-time":"2012-08-17T00:00:00Z","timestamp":1345161600000},"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":[[2012,8,17]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to research attribute reduction and decision making by gray dual\u2010information, taking into account the attribute reduction of attribute decision unknown for the interval gray numbers.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>The authors obtain the attribute weights considering the consistency of experts\u2019 judgment matrixes and the decision matrixes with gray information. They propose some experts\u2019 attribute reduction ideas based on interval gray numbers of rough set. With the help of experts\u2019 decision information, they consider attribute uncertainty ratio and attribute value ratio to reduce attribute. Finally, a numerical example shows its feasibility.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>Some experts\u2019 attribute reduction ideas are proposed based on interval gray numbers of rough set. With the help of experts\u2019 decision information, attribute uncertainty ratio and attribute value ratio to reduce attribute can be considered.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>Attribute reduction is keeping classified information systems under the same conditions and deleting redundant and irrelevant or unimportant attributes in order to solve the problem of decision making. This paper considers the attribute reduction based on gray dual\u2010information.<\/jats:p><\/jats:sec>","DOI":"10.1108\/20439371211260180","type":"journal-article","created":{"date-parts":[[2014,11,13]],"date-time":"2014-11-13T12:10:36Z","timestamp":1415880636000},"page":"217-228","source":"Crossref","is-referenced-by-count":2,"title":["Attribute reduction and decision\u2010making model based on gray dual\u2010information"],"prefix":"10.1108","volume":"2","author":[{"given":"Zhang","family":"Jie","sequence":"first","affiliation":[]},{"given":"Zhu","family":"Jian\u2010Jun","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022012220055427000_b2","doi-asserted-by":"crossref","unstructured":"B\u00e9cue\u2010Bertaut, M. and Pag\u00e8s, J. (2008), \u201cMultiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data\u201d, Computational Statistics & Data Analysis, Vol. 52, pp. 3255\u201068.","DOI":"10.1016\/j.csda.2007.09.023"},{"key":"key2022012220055427000_b8","doi-asserted-by":"crossref","unstructured":"Beynon, M. (2001), \u201cReducts within the variable precision rough sets model: a further investigation\u201d, European Journal of Opera\u2010tional Research, Vol. 134, pp. 592\u2010605.","DOI":"10.1016\/S0377-2217(00)00280-0"},{"key":"key2022012220055427000_b14","unstructured":"Chen, Q. (2011), \u201cSequencing method for decision\u2010making system based on the interval AHP and rough set\u201d, Fuzzy Systems and Mathematics, Vol. 25 No. 1, pp. 140\u20105."},{"key":"key2022012220055427000_b17","unstructured":"Chen, X. and Liu, S. (2008), \u201cStudy on grey multiple attribute group decision\u2010making method without weight information\u201d, Chinese Journal of Management Science, Vol. 16 No. 5, pp. 146\u201052."},{"key":"key2022012220055427000_b16","unstructured":"Cheng, J.\u2010M. (2005), Research on Interval Valued Decision Table Data Mining Based on Rough Set Theory, Xi'an University of Electronic Science and Technology, Chengdu."},{"key":"key2022012220055427000_b6","doi-asserted-by":"crossref","unstructured":"Fan, T.\u2010F., Liau, C.\u2010J. and Liu, D.\u2010R. (2011), \u201cA relational perspective of attribute reduction in rough set\u2010based data analysis\u201d, European Journal of Operational Research, Vol. 213, pp. 270\u20108.","DOI":"10.1016\/j.ejor.2010.08.017"},{"key":"key2022012220055427000_b5","doi-asserted-by":"crossref","unstructured":"Kaneiwa, K. and Kudo, Y. (2011), \u201cA sequential pattern mining algorithm using rough set theory\u201d, International Journal of Approximate Reasoning, Vol. 52, pp. 881\u201093.","DOI":"10.1016\/j.ijar.2011.03.002"},{"key":"key2022012220055427000_b9","doi-asserted-by":"crossref","unstructured":"Kryszkiewicz, M. (2001), \u201cComparative studies of alternative type of knowledge reduction in inconsistent systems\u201d, International Journal of Intelligent Systems, Vol. 16, pp. 105\u201020.","DOI":"10.1002\/1098-111X(200101)16:1<105::AID-INT8>3.0.CO;2-S"},{"key":"key2022012220055427000_b13","doi-asserted-by":"crossref","unstructured":"Leung, Y., Fiseher, M.M. and Wu, W.Z. (2008), \u201cA rough set approach for the discovery of classification rules in interval valued information systems\u201d, International of Approximate Reasoning, Vol. 47 No. 2, pp. 233\u201046.","DOI":"10.1016\/j.ijar.2007.05.001"},{"key":"key2022012220055427000_b15","unstructured":"Li\u2010ping, A. (2008), Multi\u2010attribute Decision Analysis Based on Rough Set Theory, Science Press, Beijing."},{"key":"key2022012220055427000_b19","unstructured":"Liu, S., Fang, Z. and Xie, N. (2010), \u201cAlgorithm rules of interval grey numbers based on the \u2018Kernel\u2019 and the degree of greyness of grey numbers\u201d, Systems Engineering and Electronics, Vol. 32 No. 2, pp. 313\u201016."},{"key":"key2022012220055427000_b11","unstructured":"Mi, J., Wu, W. and Zhang, W. (2004), \u201cKnowledge reducts based on variable precision rough set theory\u201d, Systems Engineering\u2010Theory and Practice, Vol. 24 No. 1, pp. 76\u201082."},{"key":"key2022012220055427000_b10","doi-asserted-by":"crossref","unstructured":"Su, C.\u2010T. and Hsu, J.\u2010H. (2006), \u201cPrecision parameter in the variable precision rough sets model: an application\u201d, The International Journal of Management Science, Vol. 34, pp. 149\u201057.","DOI":"10.1016\/j.omega.2004.08.005"},{"key":"key2022012220055427000_b7","unstructured":"Thangavel, K., Karnan, M. and Pethalakshmi, A. (2005), \u201cPerformance analysis of rough reduct algorithms in mammogram\u201d, International Journal on Global Vision and Image Processing, Vol. 5 No. 8, pp. 13\u201021."},{"key":"key2022012220055427000_b18","unstructured":"Xiang\u2010qian, F. and Gang, Q. (2010), \u201cMethod for interval multi\u2010attribute decision making based on entropy\u201d, Computer Engineering and Applications, Vol. 46 No. 33, pp. 236\u20108."},{"key":"key2022012220055427000_b1","unstructured":"Xiaoping, F., Yueshan, X. and Zhifang, L. (2009), \u201cAttributes reduction by rough setwith PCA based on tolerant relation\u201d, Journal of Southeast University (\u2009Natural Science Edition), Vol. 39, pp. 199\u2010203 (suppl.)."},{"key":"key2022012220055427000_b4","unstructured":"Xu, C. and Wei, L. (2010), \u201cVague set method of multi\u2010criteria fuzzy decision making\u201d, Systems Engineering\u2010Theory and Practice, Vol. 30 No. 11, pp. 2019\u201025."},{"key":"key2022012220055427000_b12","doi-asserted-by":"crossref","unstructured":"Yamaguchi, D., Li, G.D. and Nagai, M. (2007), \u201cA grey based rough approximation model for interval data processing\u201d, Information Sciences, Vol. 177 No. 21, pp. 4727\u201044.","DOI":"10.1016\/j.ins.2007.05.022"},{"key":"key2022012220055427000_b3","unstructured":"Yang, L., Xie, G. and Zhen, L. (2010), \u201cStudy on selection of landscape indices based on factor analysis\u201d, Journal of Shangdong University of Science and Technology, Vol. 29 No. 5, pp. 19\u201023."},{"key":"key2022012220055427000_b20","unstructured":"Yu\u2010hui, Q. and Dang, L. (2007), \u201cThe risk of multi\u2010attribute decision making methods based on excellent indicators of gray\u201d, Journal of Henan Institute of Education (Natural Science), Vol. 16 No. 3, pp. 4\u201013."}],"container-title":["Grey Systems: Theory and Application"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/20439371211260180","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/20439371211260180\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/20439371211260180\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T23:52:39Z","timestamp":1753401159000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/gs\/article\/2\/2\/217-228\/79060"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012,8,17]]},"references-count":20,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2012,8,17]]}},"alternative-id":["10.1108\/20439371211260180"],"URL":"https:\/\/doi.org\/10.1108\/20439371211260180","relation":{},"ISSN":["2043-9377"],"issn-type":[{"type":"print","value":"2043-9377"}],"subject":[],"published":{"date-parts":[[2012,8,17]]}}}